{"id":"W2119294004","doi":"10.1161/strokeaha.107.507145","title":"Escalating Levels of Access to In-Hospital Care and Stroke Mortality","year":2008,"lang":"en","type":"article","venue":"Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Toronto; University Health Network; Institute for Clinical Evaluative Sciences; University of Calgary; St. Michael's Hospital; Western University","funders":"Institute for Clinical Evaluative Sciences","keywords":"Medicine; Stroke (engine); Emergency medicine; Cohort; Acute stroke; Cohort study; Physical therapy; Intensive care medicine; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.0006644515,0.0001876811,0.000196685,0.0006600659,0.0004725597,0.0008471737,0.00047454,0.0003892726,0.001967148],"category_scores_gemma":[0.00455848,0.0001118436,0.0003373554,0.0008151635,0.0003461044,0.0004299046,0.0007747193,0.0006300135,0.0001165787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001862405,"about_ca_system_score_gemma":0.001316832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03560567,"about_ca_topic_score_gemma":0.05490733,"domain_scores_codex":[0.9991856,0.0001470385,0.00009077442,0.0001113155,0.0001875586,0.0002775936],"domain_scores_gemma":[0.9959748,0.0003120016,0.002182479,0.0001518126,0.0004022899,0.0009766051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000382306,0.00003648894,0.9987846,0.000003452495,0.00002642301,0.00001516815,0.00003141571,0.00004486316,0.00003183794,0.00001733425,0.00008241736,0.0008878397],"study_design_scores_gemma":[0.000003106402,0.00002303603,0.9997252,0.00000368287,0.000006894136,0.00003468337,0.00004629649,0.00007954639,0.0000130584,0.00002400738,0.00003898816,0.000001625162],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990848,0.00009875881,0.00003750314,0.00009867812,0.000002634734,0.000007406882,0.0002177887,0.000003026905,0.0004493866],"genre_scores_gemma":[0.9996501,0.00003355444,0.00004827661,0.00001745587,0.000005320238,0.000003965666,0.0001898343,6.347469e-7,0.00005077893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03560567,"threshold_uncertainty_score":0.07079685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04014906360179383,"score_gpt":0.315327031486555,"score_spread":0.2751779678847612,"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."}}