{"id":"W2887436283","doi":"","title":"Abstract W P262: Using Scarce Stroke Care Resources for the Greatest Impact: Examining Ontario’S Stroke Report Card 2011/12","year":2014,"lang":"en","type":"article","venue":"Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Report card; Stroke (engine); Audit; Health care; Emergency medicine; Gerontology; Medical emergency; Accounting","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":[0.003834284,0.0002951602,0.0002391664,0.003235596,0.002143849,0.001948818,0.001197048,0.0004500783,0.004311264],"category_scores_gemma":[0.02052344,0.0002510673,0.0003639367,0.008029183,0.0007533683,0.0007864356,0.001100469,0.0005380466,0.0004988995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02989576,"about_ca_system_score_gemma":0.04944259,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9740829,"about_ca_topic_score_gemma":0.9870126,"domain_scores_codex":[0.9966257,0.0002878287,0.0004030148,0.0001762252,0.001904306,0.0006029429],"domain_scores_gemma":[0.9733805,0.001826254,0.009060832,0.0006776978,0.01251252,0.002542272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004473663,0.00004264384,0.9542742,0.0001546,0.00002772808,0.00005510403,0.0009404259,0.0001586677,0.00004453825,0.0002810647,0.03781496,0.0061613],"study_design_scores_gemma":[0.000007361664,0.00001085137,0.9928785,0.00004515552,0.00001000264,0.00001348277,0.0008677817,0.0001615532,0.00003546394,0.00002098543,0.005942605,0.000006209349],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8072019,0.0007560613,0.0007575293,0.009994616,0.0001268801,0.001830525,0.1433161,0.00007872068,0.03593759],"genre_scores_gemma":[0.9480426,0.0007957511,0.001846978,0.0008789446,0.00009742348,0.0009274629,0.04107489,0.0000253714,0.006310547],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02989576,"threshold_uncertainty_score":0.21691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0384082941737052,"score_gpt":0.2939177808212105,"score_spread":0.2555094866475053,"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."}}