{"id":"W4231235722","doi":"10.1515/iupac.88.0595","title":"Chorion","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001647997,0.001362279,0.00130781,0.004351958,0.001355549,0.004762836,0.001999057,0.001545349,0.2548977],"category_scores_gemma":[0.0167823,0.0007365661,0.001807865,0.007881743,0.0005633066,0.004147728,0.003231532,0.002335604,0.2681968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001862495,"about_ca_system_score_gemma":0.003180336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02166635,"about_ca_topic_score_gemma":0.03045764,"domain_scores_codex":[0.9973415,0.0005606389,0.0005070349,0.0007344678,0.000581564,0.0002747866],"domain_scores_gemma":[0.9925929,0.002198498,0.0007692302,0.002137913,0.001828799,0.0004726105],"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":[0.00006071271,0.000007337419,0.0005979331,0.0004615334,0.00001454412,0.00001374173,0.00002647071,0.00005884354,0.0000315038,0.001164123,0.9924799,0.005083333],"study_design_scores_gemma":[0.0000455581,0.000006845622,0.001543944,0.0004150713,0.000009178329,0.00004078415,0.00007197969,0.00006248154,0.0000724708,0.001224335,0.9964938,0.00001362155],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001791281,0.0002695076,0.0001990437,0.0003939887,0.000183758,0.00004019469,0.9894682,0.000599109,0.008667225],"genre_scores_gemma":[0.0008533963,0.0003494624,0.0005540053,0.0005106633,0.00006115457,0.0001722919,0.9901389,0.000337358,0.007022742],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7451023,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02372034755995922,"score_gpt":0.469370246559414,"score_spread":0.4456498989994548,"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."}}