{"id":"W4231642743","doi":"10.1515/iupac.88.0440","title":"Amnion","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":[0.001454251,0.001296316,0.001253776,0.004192353,0.0008832428,0.003376527,0.002180187,0.001530167,0.1735214],"category_scores_gemma":[0.01266195,0.0006026783,0.001431951,0.005758316,0.0003785004,0.002178319,0.00270573,0.001614826,0.1955604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001462686,"about_ca_system_score_gemma":0.002867415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0156019,"about_ca_topic_score_gemma":0.02345114,"domain_scores_codex":[0.9981784,0.000352602,0.0003864765,0.0005180404,0.0003857217,0.0001788005],"domain_scores_gemma":[0.9954496,0.001230652,0.0007010581,0.001074924,0.001219406,0.0003242672],"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":[0.0001336008,0.00001265252,0.001515231,0.001543015,0.00003986259,0.00003338951,0.00003260398,0.0001217941,0.00009381428,0.0009842676,0.9871188,0.008370967],"study_design_scores_gemma":[0.00009386992,0.00001092733,0.002864936,0.0007739891,0.00002410321,0.00006816409,0.00005238293,0.00009219355,0.0001300522,0.0009659029,0.9949071,0.00001630463],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001112236,0.0002105399,0.00009454096,0.0001309487,0.00006147569,0.00002340156,0.9967289,0.0003181988,0.002320699],"genre_scores_gemma":[0.0005073876,0.0002701913,0.0003570558,0.0002354496,0.00002934705,0.0001240901,0.9958438,0.000118765,0.002513906],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1735214,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0219372752619681,"score_gpt":0.4538148914356639,"score_spread":0.4318776161736958,"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."}}