{"id":"W4293194814","doi":"10.1161/strokeaha.122.039172","title":"Quantifying Improved Outcomes, Cost Savings, and Hospital Volume Changes From Optimized Emergency Stroke Transport","year":2022,"lang":"en","type":"article","venue":"Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Calgary; Dalhousie University","funders":"","keywords":"Medicine; Emergency medicine; Stroke (engine); Occlusion; Outcome (game theory); Health care; Healthcare system; Baseline (sea); Medical emergency; Surgery","routes":{"ca_aff":true,"ca_fund":false,"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":[0.003740147,0.0009404101,0.0005808729,0.000780694,0.0002541775,0.0009683605,0.001456503,0.0007572994,0.001541147],"category_scores_gemma":[0.008740487,0.0004467127,0.001293334,0.0008918284,0.0007284505,0.0009457578,0.001006165,0.00101242,0.0001268378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004860244,"about_ca_system_score_gemma":0.004074241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04060212,"about_ca_topic_score_gemma":0.03122352,"domain_scores_codex":[0.9982597,0.0009542885,0.00006018952,0.0002901412,0.0001963766,0.0002392787],"domain_scores_gemma":[0.9941745,0.00342655,0.001240674,0.000399581,0.0005636561,0.0001950092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00005493938,0.00003195766,0.01017971,0.00001650429,0.00006910633,0.00003397301,0.00001329964,0.9866041,0.0001141908,0.0008123171,0.0002047397,0.001865228],"study_design_scores_gemma":[0.00002365158,0.0001595898,0.008475864,0.00001303397,0.00008289033,0.00006033938,0.00003386809,0.9880463,0.0003481514,0.002312584,0.0004220448,0.00002169518],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.902569,0.0002175061,0.0911579,0.0009289125,0.00003747584,0.0002120726,0.001825082,0.0002281639,0.002823961],"genre_scores_gemma":[0.9846609,0.00009122443,0.01359047,0.0000980401,0.00001377501,0.0001170311,0.0006516844,0.00002515459,0.0007516799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04060212,"threshold_uncertainty_score":0.08073157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02081788387423948,"score_gpt":0.2655271211761806,"score_spread":0.2447092373019411,"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."}}