{"id":"W4247237363","doi":"10.1515/iupac.88.0649","title":"Cranium","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Anesthesia and Neurotoxicity Research","field":"Neuroscience","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":[0.0009720298,0.001651264,0.001450971,0.005087048,0.0009433783,0.00322963,0.002396613,0.001481671,0.1789874],"category_scores_gemma":[0.01041336,0.00056891,0.001490819,0.007681255,0.0004110046,0.002454794,0.002852347,0.001544876,0.2028748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001471155,"about_ca_system_score_gemma":0.002973818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01852842,"about_ca_topic_score_gemma":0.03918166,"domain_scores_codex":[0.9985579,0.000243775,0.0003497213,0.0003937898,0.0002923933,0.0001625339],"domain_scores_gemma":[0.9964511,0.0009346759,0.0005323284,0.0007089564,0.00110111,0.0002717377],"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":[0.0001000367,0.000009662785,0.0009176817,0.001833473,0.00003843222,0.00003157997,0.00003364413,0.00009473111,0.00009374843,0.0007724627,0.9885393,0.007535324],"study_design_scores_gemma":[0.00008247055,0.000009795978,0.002494278,0.0007469988,0.00002558903,0.0000744088,0.00005990615,0.00007227936,0.0001117527,0.0009343859,0.9953714,0.00001670522],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008800236,0.0001891442,0.00007000953,0.00009442148,0.00004200887,0.00002136822,0.9973573,0.0002598938,0.001877809],"genre_scores_gemma":[0.0003685226,0.0002549223,0.0003109094,0.0001483706,0.00002129648,0.0001189781,0.9971571,0.0001015177,0.001518245],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1789874,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05694125823690888,"score_gpt":0.4811766808562816,"score_spread":0.4242354226193727,"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."}}