{"id":"W2585567318","doi":"10.1017/cjn.2016.440","title":"Trajectories of Stroke Care in Ontario: Which Path to Best Care?","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trillium Health Centre; Institute for Clinical Evaluative Sciences; University of Toronto; University Health Network; Ontario Stroke Network; Toronto Rehabilitation Institute","funders":"Ontario Ministry of Health and Long-Term Care","keywords":"Stroke (engine); Path (computing); Medicine; Physical medicine and rehabilitation; Computer science; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001662233,0.0001921439,0.0004384939,0.001147525,0.002564757,0.002048096,0.001056883,0.0004567284,0.002125089],"category_scores_gemma":[0.007156098,0.0002746643,0.0005570512,0.004302328,0.0009407036,0.00154728,0.001706948,0.0007075662,0.0001815541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04257176,"about_ca_system_score_gemma":0.07422371,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9723423,"about_ca_topic_score_gemma":0.9845517,"domain_scores_codex":[0.9981585,0.000224953,0.000180078,0.0002096521,0.0006062615,0.0006206155],"domain_scores_gemma":[0.9937485,0.0004159945,0.001899812,0.0002635041,0.002153099,0.00151902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001477403,0.00005128065,0.9431471,0.0003142208,0.00008023598,0.0001505309,0.00682901,0.0004731696,0.0001641416,0.001006186,0.006217594,0.04141868],"study_design_scores_gemma":[0.0000153199,0.00004547443,0.9872618,0.0003108834,0.00003764609,0.0000514383,0.005744267,0.0007663052,0.00006629261,0.0008444129,0.004828353,0.0000278091],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9432824,0.005369158,0.001429316,0.03048137,0.0000846403,0.0002385704,0.009204786,0.00007553912,0.009834293],"genre_scores_gemma":[0.9931257,0.002129823,0.001370899,0.0006556854,0.00001624554,0.00007276096,0.001861653,0.00001346618,0.0007538358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04257176,"threshold_uncertainty_score":0.3088812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03191841772601289,"score_gpt":0.2783867569310032,"score_spread":0.2464683392049903,"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."}}