{"id":"W4239353670","doi":"10.1515/iupac.88.0618","title":"Cloacal Membrane","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Congenital gastrointestinal and neural anomalies","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":[0.0008103166,0.001181824,0.001248312,0.003508205,0.0006771516,0.002192855,0.001683446,0.001410381,0.07936098],"category_scores_gemma":[0.008274199,0.0004278398,0.001609302,0.004491976,0.0003862007,0.001599751,0.00172782,0.001291573,0.05826328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001166592,"about_ca_system_score_gemma":0.002575193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01687234,"about_ca_topic_score_gemma":0.03010017,"domain_scores_codex":[0.9989578,0.0001616194,0.0002676706,0.0003121887,0.0002012177,0.0000994767],"domain_scores_gemma":[0.9967427,0.001151631,0.0006478982,0.0005908425,0.0007125759,0.0001544386],"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":[0.0004966611,0.00003449642,0.00543449,0.006977291,0.0001390908,0.0002143433,0.00005514995,0.0004716213,0.0005147765,0.001182296,0.9446918,0.03978803],"study_design_scores_gemma":[0.0002072496,0.00002894877,0.01164555,0.002324771,0.0000909997,0.0004660036,0.00008878038,0.0003160345,0.0004605747,0.001516375,0.9828181,0.00003657451],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006178516,0.001049045,0.000301329,0.0001790441,0.00006304457,0.00006516361,0.9936673,0.0004042716,0.003652845],"genre_scores_gemma":[0.002621133,0.001359221,0.001314621,0.0003594425,0.00003013674,0.0003039126,0.9913512,0.0001195702,0.002540779],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07936098,"threshold_uncertainty_score":0.2654889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02785750226880239,"score_gpt":0.426317501265505,"score_spread":0.3984599989967026,"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."}}