{"id":"W4231394969","doi":"10.1515/iupac.87.0122","title":"Carotid Artery","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Cerebrovascular and Carotid Artery Diseases","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Relation (database); Computer science; Psychology; Medicine; Chemistry; Linguistics; Philosophy; Data mining; Organic chemistry","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":[0.0005270221,0.001221951,0.001281654,0.0029751,0.0005457092,0.001816167,0.001482185,0.001547671,0.07380886],"category_scores_gemma":[0.006634309,0.0003875975,0.001334163,0.004857226,0.0002353235,0.001158943,0.001158211,0.001511577,0.05994433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009674025,"about_ca_system_score_gemma":0.001904313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01665,"about_ca_topic_score_gemma":0.02503146,"domain_scores_codex":[0.999194,0.00008861902,0.0001718103,0.0002862923,0.0001602079,0.00009919693],"domain_scores_gemma":[0.9978175,0.0004850003,0.000426195,0.0004427663,0.0006698879,0.0001586529],"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":[0.0003932512,0.0000268439,0.008497326,0.002236428,0.0001191302,0.0001214275,0.00002783312,0.0003209237,0.0001498704,0.0008900785,0.9717587,0.01545824],"study_design_scores_gemma":[0.0004809134,0.00004548624,0.03420851,0.002113724,0.0001865076,0.0006717083,0.000098505,0.0006806887,0.0004805989,0.003193358,0.9577784,0.00006154206],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005738948,0.0004147306,0.0001496914,0.0001262141,0.00006174899,0.00003078668,0.9945024,0.0002321578,0.003908244],"genre_scores_gemma":[0.002213104,0.0004940281,0.0005520224,0.0002285599,0.00005207782,0.0001686816,0.9935632,0.00005290222,0.002675377],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07380886,"threshold_uncertainty_score":0.2469152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01100651007760148,"score_gpt":0.3625509115293892,"score_spread":0.3515444014517877,"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."}}