{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005082487,0.0004656258,0.0006452008,0.0002466177,0.000627645,0.0003614721,0.00203288,0.0004113136,0.002489649],"category_scores_gemma":[0.004221148,0.0004018231,0.0002372135,0.0001565041,0.0005489346,0.0001723561,0.0004109156,0.001275012,0.00005397259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001491256,"about_ca_system_score_gemma":0.0009268748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008799292,"about_ca_topic_score_gemma":0.0001564682,"domain_scores_codex":[0.9955151,0.0002710523,0.0003535896,0.0009441812,0.002194077,0.000722],"domain_scores_gemma":[0.9970076,0.0002856632,0.0002926287,0.001930642,0.0001886432,0.0002947891],"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":[0.0001726187,0.0002342535,0.00000460964,0.0001133209,0.000006498376,0.001295334,0.000004395585,4.154252e-7,0.001582337,0.00001099357,0.9960445,0.0005307052],"study_design_scores_gemma":[0.0004912242,0.0002945793,0.00002947797,0.0001172793,0.00002973541,0.0001658671,0.000002933082,0.00001012222,0.005322267,0.00008635079,0.9930502,0.0003999992],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006644426,0.00007283266,0.000008924399,0.001042259,0.0004734603,0.0005471587,0.996842,0.00009107433,0.0002579066],"genre_scores_gemma":[0.0002072093,0.001095538,0.000005201491,0.001247198,0.0007843959,0.00002973529,0.9940643,0.00005739484,0.002509034],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.00373993,"threshold_uncertainty_score":0.9998434,"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."}}