{"id":"W4234026084","doi":"10.1515/iupac.88.0913","title":"Hymen","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Historical Gender and Feminism Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Terminology; Relation (database); Computer science; Linguistics; Philosophy; Data mining","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":[0.0007635822,0.001085299,0.001048872,0.003285571,0.0007597618,0.002814815,0.001433013,0.001019462,0.2411006],"category_scores_gemma":[0.006402914,0.000489919,0.0008935218,0.007390894,0.0003271134,0.002210931,0.002095068,0.00127257,0.2368822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00124607,"about_ca_system_score_gemma":0.001923496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0197414,"about_ca_topic_score_gemma":0.03253179,"domain_scores_codex":[0.9989319,0.0001947401,0.0001937006,0.0003140403,0.0002236062,0.000141921],"domain_scores_gemma":[0.997937,0.0005989694,0.0003244791,0.0003924033,0.000572237,0.0001749585],"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":[0.0000802799,0.00000938845,0.001283503,0.00121844,0.00001820617,0.00002384046,0.00006587806,0.00008398246,0.00006810038,0.001275999,0.9875437,0.00832863],"study_design_scores_gemma":[0.00003895411,0.000004762184,0.002340882,0.0004133819,0.000007188468,0.00002709512,0.0001126246,0.00004998902,0.00006701179,0.0005805527,0.9963489,0.000008639532],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001339532,0.0001579378,0.00006609155,0.00008742251,0.0000391624,0.00001434782,0.9960266,0.0001461812,0.003328293],"genre_scores_gemma":[0.0006601518,0.0002825978,0.0002729268,0.0001473837,0.00002145867,0.000109083,0.9938491,0.00008642436,0.004570894],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2411006,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04395894308267582,"score_gpt":0.4940254552340589,"score_spread":0.4500665121513831,"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."}}