{"id":"W4234727335","doi":"10.32388/lxnqgl","title":"Canadian Cardiovascular Society Grading Scale Class","year":2020,"lang":"en","type":"reference-entry","venue":"Definitions","topic":"Cardiac, Anesthesia and Surgical Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Grading scale; Grading (engineering); Scale (ratio); Class (philosophy); Computer science; Geography; Cartography; Artificial intelligence; Medicine; Engineering; Civil engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001271486,0.0008532989,0.0007716453,0.006043545,0.001356384,0.001250189,0.001657939,0.0006855756,0.0568436],"category_scores_gemma":[0.007121381,0.0001193167,0.0006723451,0.004609898,0.0003935739,0.0007203168,0.0009461471,0.001369786,0.01394932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004067019,"about_ca_system_score_gemma":0.01047576,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2608313,"about_ca_topic_score_gemma":0.3223272,"domain_scores_codex":[0.9985011,0.00007959794,0.0001482169,0.0001329532,0.0009616011,0.0001765503],"domain_scores_gemma":[0.9948534,0.000204895,0.000576992,0.0001455605,0.003743559,0.0004755479],"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":[0.0001855597,0.00005678927,0.03225591,0.0004416474,0.00009174395,0.0001161833,0.0001140825,0.0003044702,0.0001313595,0.002476076,0.9244642,0.039362],"study_design_scores_gemma":[0.000402762,0.0001403889,0.2688971,0.001809496,0.0001927592,0.0009405005,0.0004116326,0.001090924,0.0002662554,0.005517514,0.7201664,0.0001642558],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02765232,0.01177359,0.005852111,0.004315817,0.003463143,0.003085086,0.4344506,0.001057684,0.5083497],"genre_scores_gemma":[0.2417461,0.01943033,0.0158937,0.003009714,0.001653128,0.003336446,0.5676603,0.0003842045,0.1468861],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7391688,"threshold_uncertainty_score":0.5186261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05505258822200429,"score_gpt":0.2484692213776435,"score_spread":0.1934166331556392,"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."}}