{"id":"W4237722791","doi":"10.1515/iupac.88.1175","title":"Parasitic Twin","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004460805,0.0004915395,0.00106674,0.000296428,0.0002884983,0.00003277213,0.0005004008,0.001038577,0.001677657],"category_scores_gemma":[0.002167444,0.0004065777,0.0002754552,0.0001215344,0.0006625072,0.00007030903,0.0001444166,0.00165054,0.00001977697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003071096,"about_ca_system_score_gemma":0.001140321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004505306,"about_ca_topic_score_gemma":0.000100852,"domain_scores_codex":[0.9974083,0.00005476842,0.0004244535,0.000868512,0.0007699107,0.0004740827],"domain_scores_gemma":[0.99584,0.00004267139,0.0003950405,0.003020013,0.0005244709,0.0001778029],"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":[0.0002534266,0.0005571789,0.0002891467,0.0004048791,0.0004010645,0.001338776,0.000005130372,1.015336e-7,0.00001493475,0.00001188447,0.9918835,0.004839994],"study_design_scores_gemma":[0.001418825,0.0005330453,0.002304725,0.001605147,0.0009022641,0.0004988427,0.00001668784,7.87722e-7,0.0001090906,0.0003397189,0.9918953,0.0003756319],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003935994,0.004930133,0.00003738541,0.002119844,0.00101757,0.0005599539,0.9903815,0.000213182,0.0003468617],"genre_scores_gemma":[0.0005330388,0.0008803568,0.0001280863,0.0002820028,0.001069394,0.00003046684,0.9946664,0.00004807978,0.002362153],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.004464362,"threshold_uncertainty_score":0.9998386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0226890156239332,"score_gpt":0.4469805206462479,"score_spread":0.4242915050223147,"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."}}