{"id":"W6968786326","doi":"10.5281/zenodo.16883647","title":"Evie Magazine web archive collection derivatives","year":2025,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Web page; Web site; The Internet; Web application","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001068555,0.001775814,0.001292414,0.007336806,0.001077696,0.003325805,0.001611061,0.0009435424,0.09796042],"category_scores_gemma":[0.004973892,0.0007141832,0.0008485176,0.009222671,0.0003563338,0.002045905,0.002418331,0.001846781,0.2459286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001054304,"about_ca_system_score_gemma":0.002363687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01636249,"about_ca_topic_score_gemma":0.03235442,"domain_scores_codex":[0.998789,0.0001326997,0.0001266746,0.0002499332,0.0004990406,0.0002026667],"domain_scores_gemma":[0.9965706,0.000470468,0.0001963753,0.0009711403,0.001391206,0.000400283],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001916644,0.000008597192,0.000153672,0.00009328013,0.000004038175,0.000008480994,0.000009269798,0.00002256839,0.00005728726,0.0001493357,0.9972487,0.002225517],"study_design_scores_gemma":[0.00002115572,0.000008173371,0.001320203,0.00007317614,0.000006340503,0.00004701917,0.00004952578,0.0001118084,0.0002872154,0.0003221904,0.9977435,0.000009785353],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003977929,0.000161524,0.000217803,0.000139143,0.0001377465,0.00002721467,0.9891064,0.002417319,0.007395167],"genre_scores_gemma":[0.0004143181,0.0001018127,0.000357506,0.0000633121,0.00002019277,0.00005054078,0.9935765,0.0003834758,0.005032538],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09796042,"threshold_uncertainty_score":0.3277102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02408323032524898,"score_gpt":0.2513722150065768,"score_spread":0.2272889846813278,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}