{"id":"W6968650365","doi":"10.5281/zenodo.16883648","title":"Evie Magazine web archive collection derivatives","year":2025,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Educational Reforms and Innovations","field":"Environmental 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":[0.001018468,0.001845851,0.00137338,0.006697627,0.0009497906,0.00355324,0.001874124,0.00129799,0.1255355],"category_scores_gemma":[0.006109793,0.0007332825,0.0009790199,0.01003032,0.0003947159,0.001941137,0.002610778,0.001861379,0.264755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00131837,"about_ca_system_score_gemma":0.002766756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02865468,"about_ca_topic_score_gemma":0.0527601,"domain_scores_codex":[0.9987791,0.0001623739,0.0001296481,0.0003051833,0.0004032206,0.0002203383],"domain_scores_gemma":[0.9970113,0.0005610469,0.0002462588,0.0008085064,0.001024072,0.0003487773],"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":[0.00001637739,0.000005785381,0.0001884495,0.0001570465,0.000006702167,0.000007345119,0.00001065954,0.0000334297,0.00003416787,0.0001854454,0.9980532,0.00130132],"study_design_scores_gemma":[0.00002944025,0.000006622006,0.00165995,0.0001370471,0.00000917662,0.00003170501,0.00005625598,0.00008667728,0.0001493943,0.0003920901,0.9974309,0.00001078324],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009684353,0.00008134817,0.00005782825,0.00006023454,0.00004203233,0.000007327475,0.9970553,0.0005553251,0.002043778],"genre_scores_gemma":[0.0002149124,0.00006842677,0.000133846,0.00003904782,0.00001013787,0.00002860442,0.9971554,0.0001574764,0.002192041],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1255355,"threshold_uncertainty_score":0.4199582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02119164814871326,"score_gpt":0.2570782248836002,"score_spread":0.2358865767348869,"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."}}