{"id":"W2018301867","doi":"10.1017/s0317167100015638","title":"Impact of Disability Status on Ischemic Stroke Costs in Canada in the First Year","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":134,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Ottawa; Université Laval; University of Alberta; Western University; University of Toronto; Dalhousie University; University of Calgary; Thunder Bay Regional Health Sciences Centre; Ottawa Hospital; Health Sciences Centre; Sunnybrook Health Science Centre","funders":"Canadian Stroke Network; AstraZeneca Canada; AstraZeneca","keywords":"Medicine; Stroke (engine); Emergency medicine; Cohort; Physical therapy; Rehabilitation; Ischemic stroke; Indirect costs; Residence; Demography; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.003878205,0.0002530297,0.0005045458,0.0005050996,0.0003997688,0.00009292222,0.001249306,0.00009375648,0.0001213013],"category_scores_gemma":[0.001978091,0.0001390479,0.0001980884,0.001242443,0.003132495,0.0004436323,0.00005167449,0.001279513,8.958914e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002614856,"about_ca_system_score_gemma":0.006244142,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5004591,"about_ca_topic_score_gemma":0.9684032,"domain_scores_codex":[0.9958957,0.0004988675,0.0008414679,0.0003008994,0.0009606779,0.001502353],"domain_scores_gemma":[0.9971603,0.000774504,0.0005190682,0.0001992233,0.0001361899,0.00121073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001338834,0.00006963974,0.9940627,0.000006041404,0.0000100837,0.00102288,0.0002810835,0.0009240357,0.00001401013,0.00006271794,0.002481482,0.0009314094],"study_design_scores_gemma":[0.000403409,0.01614441,0.9780594,0.00004284944,0.00001911383,0.002559888,0.0006737262,0.0001376849,0.00003616666,0.00006007759,0.001741555,0.0001217887],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880926,0.0004034817,9.641277e-7,0.003425001,0.0003283309,0.000224123,0.00001917964,0.000002630089,0.007503668],"genre_scores_gemma":[0.9975697,0.0001238862,0.0001979451,0.001963768,0.0001292969,0.000002664209,2.974807e-7,0.000006494255,0.000005959861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4679441,"threshold_uncertainty_score":0.9995804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02722309226045354,"score_gpt":0.281820653411578,"score_spread":0.2545975611511245,"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."}}