{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003977792,0.0004638653,0.0009946246,0.000257953,0.0002730463,0.00002849357,0.0005069755,0.001088885,0.002061361],"category_scores_gemma":[0.002010778,0.000379808,0.0002676956,0.0001128781,0.0005906029,0.00006382675,0.0002760286,0.001645552,0.00001671466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002809979,"about_ca_system_score_gemma":0.001077882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004259056,"about_ca_topic_score_gemma":0.00007875835,"domain_scores_codex":[0.9975727,0.00003319932,0.00039299,0.0008354334,0.0007466364,0.0004190333],"domain_scores_gemma":[0.995695,0.00002782509,0.0004071521,0.003106541,0.0005995442,0.0001639326],"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":[0.0002621915,0.0004224771,0.0001452649,0.0003658568,0.0003640871,0.0008397595,0.000003510883,4.480589e-8,0.0000153228,0.000007720274,0.9913087,0.006265033],"study_design_scores_gemma":[0.001298557,0.0003874903,0.0008254597,0.001431491,0.0007093715,0.0003902339,0.00001224742,5.33487e-7,0.0001472507,0.0002466629,0.9942028,0.0003478909],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001415004,0.005876601,0.00002163615,0.002089803,0.001094025,0.0004786226,0.9895791,0.0002133073,0.0005053508],"genre_scores_gemma":[0.0001357182,0.001242735,0.0001557905,0.0002351189,0.001124057,0.00002336806,0.9930633,0.00004531039,0.00397463],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.005917142,"threshold_uncertainty_score":0.9998654,"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."}}