{"id":"W7161956224","doi":"10.82308/20071","title":"Variation in outcome of hospitalization for stroke across hospitals in Québec","year":2000,"lang":"en","type":"dissertation","venue":"","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stroke (engine); Acute stroke; Odds; Logistic regression; Hospital discharge; Cause of death; Odds ratio; Mortality rate","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":[0.001741888,0.0003122078,0.0003646452,0.0012937,0.0008171001,0.001201315,0.0008863194,0.000440697,0.001452727],"category_scores_gemma":[0.008041121,0.0001484716,0.0004015084,0.003202088,0.0005140314,0.0004738652,0.000602496,0.0004773679,0.0001328519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01567944,"about_ca_system_score_gemma":0.005195854,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9500305,"about_ca_topic_score_gemma":0.9631881,"domain_scores_codex":[0.9980571,0.0005515272,0.0001316742,0.0004276219,0.0004301426,0.0004018949],"domain_scores_gemma":[0.9922264,0.001641041,0.002862421,0.0003150069,0.002235494,0.0007196603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004465685,0.00001076329,0.9943166,0.00001391593,0.0001036959,0.00004337335,0.0002331883,0.0003195536,0.0001123572,0.00006429286,0.0006881008,0.004049621],"study_design_scores_gemma":[0.000002456135,0.000009669567,0.999184,0.00000877815,0.000009377725,0.0000187452,0.0001104213,0.0003651389,0.00001682658,0.00001190681,0.0002574066,0.000005321065],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990774,0.001189342,0.0007611094,0.0004934885,0.0000221629,0.00004177458,0.004724149,0.00003382641,0.001960093],"genre_scores_gemma":[0.9977582,0.0001349549,0.0001324515,0.00007268119,0.000006581718,0.00001255573,0.001576418,0.000005406626,0.0003008357],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04996949,"threshold_uncertainty_score":0.1137629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0103628046197208,"score_gpt":0.3155310618855363,"score_spread":0.3051682572658155,"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."}}