{"id":"W4385620333","doi":"10.1161/strokeaha.123.044169","title":"Optimizing Patient-Centered Stroke Care and Research in the Prehospital Setting","year":2023,"lang":"en","type":"review","venue":"Stroke","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; University of Calgary","funders":"","keywords":"Medicine; Emergency medical services; Triage; Thrombolysis; Medical emergency; Telemedicine; Stroke (engine); Workload; Intensive care medicine; Psychological intervention; Acute stroke; Emergency department; Emergency medicine; Health care; Myocardial infarction; Nursing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.05490192,0.0009789305,0.001635995,0.002078319,0.002841009,0.01262887,0.003552892,0.004222786,0.004380496],"category_scores_gemma":[0.06708218,0.0006545572,0.001453562,0.002347173,0.006355796,0.008337016,0.01097216,0.00654769,0.001889804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005030375,"about_ca_system_score_gemma":0.04163484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001756131,"about_ca_topic_score_gemma":0.003629225,"domain_scores_codex":[0.9425479,0.04478889,0.003139009,0.003049883,0.004246026,0.002228378],"domain_scores_gemma":[0.9402513,0.02734237,0.00677441,0.00497511,0.0089599,0.01169692],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004773101,0.001511009,0.02088382,0.009810061,0.0007818465,0.0006796611,0.01276822,0.00390159,0.002499441,0.1383611,0.1134161,0.6949099],"study_design_scores_gemma":[0.000874509,0.003343514,0.02371533,0.02010159,0.0009318436,0.001327598,0.02392974,0.004345366,0.00558563,0.447929,0.467534,0.0003817781],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.03763032,0.14817,0.1244967,0.6268271,0.006701296,0.00224601,0.0007238666,0.001093928,0.05211079],"genre_scores_gemma":[0.415192,0.1498262,0.3091859,0.1070661,0.007562775,0.004800998,0.0009430971,0.0003813059,0.00504169],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9450981,"threshold_uncertainty_score":0.2903526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1113221109968837,"score_gpt":0.4126746090920965,"score_spread":0.3013524980952128,"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."}}