{"id":"W6908466990","doi":"10.26226/morressier.5b9a8cf6dbd47e000fbf5399","title":"Averting Transient Ischemic Attack Misdiagnosis : Discriminating Features From a Retrospective Chart Review","year":2017,"lang":"en","type":"other","venue":"BiblioBoard Library Catalog (Open Research Library)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stroke (engine); Population; Limiting; Circumstantial evidence; Noise (video)","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":[0.003793077,0.0003000091,0.0005098483,0.005300416,0.0005170085,0.0009238533,0.0006722211,0.0004369092,0.0009613118],"category_scores_gemma":[0.02013141,0.0004439121,0.0003377796,0.003713999,0.0004013796,0.0006976284,0.0008247533,0.0003844791,0.0002803285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001120471,"about_ca_system_score_gemma":0.001663518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01275776,"about_ca_topic_score_gemma":0.01646749,"domain_scores_codex":[0.9957979,0.001197192,0.001176076,0.0004792061,0.001012695,0.0003368825],"domain_scores_gemma":[0.9758493,0.008208223,0.009434885,0.00146976,0.004279067,0.0007588452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007164681,0.0000439788,0.993651,0.0001154258,0.00002895607,0.0008733714,0.0004707658,0.0000556144,0.0001484709,0.00004128932,0.0007601823,0.003739303],"study_design_scores_gemma":[0.00001159699,0.0001215305,0.9947989,0.0001391168,0.00004861721,0.001917,0.000947194,0.0005271755,0.000228756,0.00001852278,0.001225489,0.00001609551],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990889,0.001392335,0.000972904,0.0001438603,0.0000280782,0.0007968005,0.004138356,0.00004413031,0.001594604],"genre_scores_gemma":[0.994251,0.0008164286,0.001107359,0.00008626576,0.0000342392,0.0002658526,0.003322518,0.000009238047,0.0001071944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01275776,"threshold_uncertainty_score":0.02536702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1078271305560923,"score_gpt":0.3854967339558988,"score_spread":0.2776696033998065,"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."}}