{"id":"W4234777080","doi":"10.1515/iupac.88.1402","title":"Teratogenetics","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Assisted Reproductive Technology and Twin Pregnancy","field":"Medicine","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":[0.002166493,0.001384717,0.001734092,0.004999518,0.0007785414,0.002880713,0.002448872,0.001939049,0.08679292],"category_scores_gemma":[0.01761695,0.0006955934,0.002429726,0.008282166,0.0004426238,0.001826828,0.00250927,0.002064929,0.05630112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001656201,"about_ca_system_score_gemma":0.003959665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01461697,"about_ca_topic_score_gemma":0.02528611,"domain_scores_codex":[0.9976903,0.0004876334,0.0006709069,0.000547189,0.0004238113,0.0001802202],"domain_scores_gemma":[0.9921069,0.003007121,0.001406474,0.00165064,0.001489711,0.0003391664],"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":[0.0002890312,0.00003002148,0.004950908,0.009494442,0.0002283307,0.0001161913,0.00007140732,0.0004761453,0.0003250384,0.003185195,0.9564147,0.02441856],"study_design_scores_gemma":[0.0001818489,0.00001657027,0.005862914,0.002691439,0.0001365012,0.0001903606,0.00004441169,0.000133319,0.0001899932,0.002035619,0.9884902,0.00002682108],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001756458,0.0009126086,0.0003284154,0.0001735808,0.00006170176,0.0000496783,0.9956905,0.0002412324,0.002366549],"genre_scores_gemma":[0.0008259532,0.001184139,0.001209815,0.0004324964,0.00003032411,0.0003049125,0.9943976,0.0001164651,0.001498328],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08679292,"threshold_uncertainty_score":0.2903512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02248717828397651,"score_gpt":0.4490811870817248,"score_spread":0.4265940087977483,"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."}}