{"id":"W4244574446","doi":"10.1515/iupac.88.1258","title":"Pseudohermaphrodite","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Anatomy and Medical Technology","field":"Engineering","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":[0.001311377,0.001366451,0.001396206,0.004489135,0.0007928315,0.002788829,0.001847181,0.001624702,0.157879],"category_scores_gemma":[0.01107618,0.0006322848,0.001743239,0.006997528,0.0005777464,0.002305373,0.002593288,0.001854012,0.1603901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001075292,"about_ca_system_score_gemma":0.002772511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008258954,"about_ca_topic_score_gemma":0.01731436,"domain_scores_codex":[0.9985201,0.000297929,0.0002962478,0.0004376941,0.0002633604,0.0001846274],"domain_scores_gemma":[0.9961289,0.001470437,0.0004572061,0.0009612985,0.000754147,0.0002279783],"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":[0.000126442,0.00001711423,0.0008092871,0.002584073,0.00004389502,0.00003721054,0.00004636892,0.000190632,0.0002265493,0.001034714,0.9886163,0.006267466],"study_design_scores_gemma":[0.0001516432,0.00001582312,0.002198756,0.0006707355,0.00002812261,0.0000860734,0.00006153002,0.0001408952,0.0001925699,0.001342772,0.9950897,0.00002123142],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001279442,0.0001935939,0.0001600091,0.00008312413,0.00005092502,0.00002338586,0.9977296,0.0003879734,0.001243477],"genre_scores_gemma":[0.0004638841,0.0002057022,0.0004803953,0.0001478271,0.00001610789,0.0001782671,0.9971977,0.0001481374,0.001161927],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.157879,"threshold_uncertainty_score":0.5281577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009857618870857695,"score_gpt":0.383235325778445,"score_spread":0.3733777069075873,"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."}}