{"version":"1.0","provider_name":"GeoZS","provider_url":"https:\/\/www.geo-zs.si\/en\/","author_name":"Urska.Solc","author_url":"https:\/\/www.geo-zs.si\/en\/author\/urska-solc\/","title":"Statisti\u010dno u\u010denje izbolj\u0161a klasifikacijo provenience apnenca - GeoZS","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"lzB7RgdoLu\"><a href=\"https:\/\/www.geo-zs.si\/en\/statisticno-ucenje-izboljsa-klasifikacijo-provenience-apnenca\/\">Statistical learning improves limestone provenance classification<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/www.geo-zs.si\/en\/statisticno-ucenje-izboljsa-klasifikacijo-provenience-apnenca\/embed\/#?secret=lzB7RgdoLu\" width=\"600\" height=\"338\" title=\"&#8220;Statisti\u010dno u\u010denje izbolj\u0161a klasifikacijo provenience apnenca&#8221; &#8212; GeoZS\" data-secret=\"lzB7RgdoLu\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script>\n\/*! This file is auto-generated *\/\n!function(d,l){\"use strict\";l.querySelector&&d.addEventListener&&\"undefined\"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!\/[^a-zA-Z0-9]\/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),o=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),c=new RegExp(\"^https?:$\",\"i\"),i=0;i<o.length;i++)o[i].style.display=\"none\";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute(\"style\"),\"height\"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):\"link\"===t.message&&(r=new URL(s.getAttribute(\"src\")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener(\"message\",d.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",function(){for(var e,t,s=l.querySelectorAll(\"iframe.wp-embedded-content\"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute(\"data-secret\"))||(t=Math.random().toString(36).substring(2,12),e.src+=\"#?secret=\"+t,e.setAttribute(\"data-secret\",t)),e.contentWindow.postMessage({message:\"ready\",secret:t},\"*\")},!1)))}(window,document);\n\/\/# sourceURL=https:\/\/www.geo-zs.si\/wp-includes\/js\/wp-embed.min.js\n<\/script>","thumbnail_url":"https:\/\/www.geo-zs.si\/wp-content\/uploads\/2025\/12\/Graphical-abstract_Brajkovic_1080.jpg","thumbnail_width":1080,"thumbnail_height":500,"description":"Dolo\u010danje provenience apnenca v zgodovinskih kontekstih predstavlja stalen metodolo\u0161ki izziv, zlasti pri mikritnih apnencih. Mikriti (apnenci, sestavljeni zgolj iz litificiranega karbonatnega mulja) nimajo diagnosti\u010dnih zna\u010dilnosti, kot so fosili, zrna ali sedimentarne strukture, zato je dolo\u010danje provenience posebej zahtevno. To te\u017eavo smo naslovili z analizo rimskih kamnitih izdelkov. S tradicionalnimi petrolo\u0161kimi metodami predhodno nismo uspeli dolo\u010diti [&hellip;]"}