{"id":"W4248076597","doi":"10.1515/iupac.88.0881","title":"Hemimelia","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":[0.0017824,0.001279057,0.001412751,0.005350326,0.0007956378,0.003244788,0.002362792,0.001586589,0.1085585],"category_scores_gemma":[0.01554295,0.0005803253,0.001516075,0.008165295,0.0004532827,0.002518354,0.002726083,0.001827731,0.127906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001364776,"about_ca_system_score_gemma":0.003190269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0104623,"about_ca_topic_score_gemma":0.02122117,"domain_scores_codex":[0.9981238,0.0004043534,0.0004389362,0.0005318117,0.0003176362,0.0001833472],"domain_scores_gemma":[0.994992,0.001788196,0.0007408504,0.001043324,0.001113134,0.0003225034],"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":[0.0001060893,0.0000155904,0.001362298,0.002826387,0.00004904908,0.00003311406,0.00005923228,0.0001852748,0.0001589907,0.001471201,0.9866859,0.007046802],"study_design_scores_gemma":[0.000123732,0.00001483976,0.002697445,0.001023394,0.00003167006,0.00006009846,0.00006950519,0.00017625,0.0001617799,0.001338046,0.9942801,0.00002321561],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009610187,0.0001620131,0.0001287971,0.00009675764,0.00003362421,0.00002819629,0.9978473,0.0003546698,0.001252534],"genre_scores_gemma":[0.0003391096,0.0001896326,0.0005167515,0.0001448371,0.00001453859,0.0001943687,0.9976643,0.0001105764,0.00082596],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1085585,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02075205453108572,"score_gpt":0.4506445205905902,"score_spread":0.4298924660595045,"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."}}