{"id":"W4255926292","doi":"10.1515/iupac.88.1370","title":"Stenosis","year":2017,"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; 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":[0.001442047,0.00131286,0.001565237,0.003973004,0.0008400257,0.003589465,0.002212676,0.001854459,0.2489762],"category_scores_gemma":[0.01500681,0.0004951818,0.001859501,0.005837536,0.0003821742,0.002804892,0.00231837,0.001473271,0.2437139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001428837,"about_ca_system_score_gemma":0.002794952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01186829,"about_ca_topic_score_gemma":0.01795109,"domain_scores_codex":[0.9975012,0.0004134672,0.0006301809,0.0007795099,0.0004373082,0.0002382442],"domain_scores_gemma":[0.9944814,0.001421031,0.0007532357,0.001152614,0.001864196,0.0003274068],"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":[0.0001286451,0.00001380452,0.001608695,0.001712503,0.0000389769,0.00003482968,0.00003010411,0.00007097093,0.00007807519,0.001017344,0.9848691,0.01039694],"study_design_scores_gemma":[0.000148247,0.00001743541,0.003845629,0.001260109,0.00004175543,0.0001286569,0.0000822482,0.0001280664,0.0001499058,0.001566202,0.9926063,0.0000254579],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002009553,0.0003810652,0.0001771913,0.0002763257,0.0001386554,0.00006433194,0.9928281,0.0005264747,0.005406972],"genre_scores_gemma":[0.0008980228,0.00043802,0.0005982749,0.000575772,0.000078001,0.0002513062,0.9922625,0.0001759776,0.004722039],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2489762,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01671120568983712,"score_gpt":0.4160640420535103,"score_spread":0.3993528363636732,"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."}}