{"id":"W4247431410","doi":"10.1515/iupac.88.0442","title":"Amniotic Cavity","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; Data mining; Philosophy","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":[0.00110739,0.001333639,0.001338097,0.003666303,0.0006826675,0.002029609,0.001699429,0.001212416,0.09610754],"category_scores_gemma":[0.01100834,0.0005530529,0.00155884,0.004561073,0.0004085604,0.00162856,0.001872724,0.001470664,0.06158148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001053803,"about_ca_system_score_gemma":0.002185651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01332115,"about_ca_topic_score_gemma":0.01992233,"domain_scores_codex":[0.9985293,0.0002410462,0.0004600002,0.0004140385,0.0002472991,0.0001082609],"domain_scores_gemma":[0.995356,0.001403868,0.001093903,0.0009346816,0.001002735,0.0002089193],"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":[0.0004949372,0.00003406144,0.008092409,0.006622233,0.0001779415,0.0001917326,0.000082568,0.0003766961,0.0003880678,0.001541064,0.9461451,0.03585315],"study_design_scores_gemma":[0.0002094911,0.00003077064,0.01650021,0.00303222,0.0001176938,0.0005175341,0.0001256751,0.000199456,0.0003382982,0.002095476,0.9767892,0.00004402917],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004798324,0.0009330975,0.0003324302,0.0001197832,0.00008214779,0.00006627689,0.9945385,0.0002674254,0.003180498],"genre_scores_gemma":[0.002519561,0.001327171,0.001549917,0.0003669056,0.00005163459,0.0004399224,0.9903633,0.0001135286,0.003268119],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09610754,"threshold_uncertainty_score":0.3215117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02224765879342033,"score_gpt":0.4511437175216088,"score_spread":0.4288960587281884,"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."}}