{"id":"W4244491826","doi":"10.1515/iupac.88.1298","title":"Rhombencephalon","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Neurological and metabolic disorders","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":[0.00083035,0.001584266,0.001552623,0.004382507,0.0007711451,0.002132596,0.001943929,0.001331567,0.09087081],"category_scores_gemma":[0.006541322,0.0005260712,0.001727412,0.005026487,0.0004509099,0.001420102,0.002149273,0.001430509,0.05919984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001227623,"about_ca_system_score_gemma":0.002454404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01689008,"about_ca_topic_score_gemma":0.03715869,"domain_scores_codex":[0.9991407,0.0001354566,0.0002281918,0.0002415824,0.0001594711,0.00009444583],"domain_scores_gemma":[0.9975822,0.0008369572,0.0004933698,0.0004710597,0.0004718785,0.0001444789],"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":[0.0003534419,0.0000187538,0.003727717,0.006093237,0.0001400043,0.000177926,0.00006012317,0.0002788998,0.000311523,0.001143682,0.9682754,0.0194193],"study_design_scores_gemma":[0.0002616526,0.00003120379,0.02107312,0.003196649,0.0001480717,0.0006294611,0.0001048437,0.0001827323,0.0003900371,0.002101256,0.9718308,0.000050227],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002744804,0.0005764729,0.00009725021,0.00007823244,0.00003367634,0.00003151416,0.9969954,0.0001650528,0.001747844],"genre_scores_gemma":[0.001151689,0.0007475381,0.000542147,0.0001554832,0.00001751833,0.0002679867,0.9956596,0.00005835556,0.001399552],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09087081,"threshold_uncertainty_score":0.3039932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0235301633394817,"score_gpt":0.4506624981008119,"score_spread":0.4271323347613302,"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."}}