{"id":"W4234850907","doi":"10.1515/iupac.88.0748","title":"Epicardium","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; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001868157,0.0015176,0.001539806,0.006786872,0.0008465084,0.003441957,0.002084116,0.001583603,0.1444405],"category_scores_gemma":[0.01713753,0.0006569902,0.001736014,0.009946045,0.0004740588,0.002533267,0.003190784,0.001803687,0.1517075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00139747,"about_ca_system_score_gemma":0.003497913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01193383,"about_ca_topic_score_gemma":0.02098548,"domain_scores_codex":[0.9975859,0.0005037396,0.0006430332,0.0005894704,0.0004467442,0.0002310409],"domain_scores_gemma":[0.9929349,0.002491351,0.0009746116,0.001386983,0.001766929,0.0004450967],"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":[0.0001234566,0.00001192495,0.0009269039,0.002663121,0.00004315768,0.0000319988,0.00003887962,0.0001082721,0.000126217,0.0008765967,0.9863897,0.008659702],"study_design_scores_gemma":[0.0001177494,0.00001311404,0.002555625,0.00118517,0.00003265066,0.00006898217,0.00004426727,0.00008744614,0.0001263679,0.0009513713,0.9947987,0.00001858559],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001120544,0.0003130866,0.0001312626,0.0001319956,0.00007583151,0.00004138807,0.9970405,0.0003306219,0.001823287],"genre_scores_gemma":[0.0004134891,0.0003538139,0.0005105397,0.0002264881,0.00003753711,0.0002476495,0.9964675,0.0001522441,0.001590677],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1444405,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05725199614720495,"score_gpt":0.4834963354508179,"score_spread":0.426244339303613,"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."}}