{"id":"W2908769685","doi":"10.1017/cem.2018.482","title":"Is an IOTA of evidence enough?","year":2019,"lang":"en","type":"letter","venue":"Canadian Journal of Emergency Medicine","topic":"Respiratory Support and Mechanisms","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; McGill University Health Centre","funders":"","keywords":"Medicine; MEDLINE; Data science; Computer science; Law","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":[0.02300874,0.0009206575,0.003032486,0.002957176,0.008428413,0.01421578,0.00398409,0.1054366,0.01497204],"category_scores_gemma":[0.2192057,0.00140255,0.002404345,0.002503517,0.007725447,0.01359985,0.004634649,0.07397196,0.006755873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01201687,"about_ca_system_score_gemma":0.02388269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01287343,"about_ca_topic_score_gemma":0.02848678,"domain_scores_codex":[0.9699449,0.009395135,0.006996851,0.002567247,0.00827872,0.002817053],"domain_scores_gemma":[0.8126968,0.1092751,0.01225813,0.004659769,0.03319379,0.02791642],"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":[0.00008963065,0.00004876602,0.001982884,0.0003649391,0.00008126829,0.004819471,0.0004725848,0.00009831879,0.0001464087,0.01362633,0.9657231,0.01254629],"study_design_scores_gemma":[0.0002125497,0.00006164036,0.001645852,0.003929016,0.0001588357,0.007738301,0.002111349,0.0007608488,0.0001512386,0.05742317,0.9256158,0.0001914238],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001412231,0.0008337124,0.0001000523,0.9873887,0.009422734,0.00000696018,0.00002721234,0.000008113292,0.002071226],"genre_scores_gemma":[0.004222804,0.001526293,0.0007021545,0.9359294,0.05481232,0.00003703796,0.00003614545,0.00002564052,0.002708127],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1054366,"threshold_uncertainty_score":0.1216833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3760797066336581,"score_gpt":0.4031754871402244,"score_spread":0.0270957805065663,"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."}}