{"id":"W4221101164","doi":"10.3390/ijerph19053004","title":"Protected 911: Development, Implementation, and Evaluation of a Prehospital COVID-19 High-Risk Response Team","year":2022,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Disaster Response and Management","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Hospital; University of Toronto; McMaster University; Impact","funders":"","keywords":"Personal protective equipment; Medical emergency; Medicine; Workload; Crew; Service (business); Mandate; Coronavirus disease 2019 (COVID-19); Business; Computer science; Engineering; Pathology; Aeronautics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.02618195,0.00009391803,0.0001783951,0.0007136795,0.0009381563,0.00003274503,0.000300535,0.00003092405,0.002262249],"category_scores_gemma":[0.001166535,0.00008650037,0.00002729322,0.000165811,0.000141036,0.0002736312,0.0006391351,0.000628049,0.000005522783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002187282,"about_ca_system_score_gemma":0.003818424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004754831,"about_ca_topic_score_gemma":0.0001117557,"domain_scores_codex":[0.9899557,0.005940202,0.0008660973,0.0002031459,0.002636928,0.0003978921],"domain_scores_gemma":[0.9976986,0.0007095991,0.0007292838,0.0001195214,0.0002396073,0.0005033871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01137939,0.002888168,0.2900277,0.0002680471,0.001018272,0.00004600243,0.105433,0.00007771396,0.001624543,0.002754949,0.02728591,0.5571963],"study_design_scores_gemma":[0.006946477,0.002676837,0.5462494,0.00004401946,0.00001319535,0.0000427928,0.119843,0.00007816144,0.00002800997,0.002461659,0.3214907,0.000125745],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9859017,0.0004265342,0.0003428934,0.01150498,0.0001886753,0.001258768,0.0002092986,0.000005444233,0.0001616779],"genre_scores_gemma":[0.9976926,0.0004427562,0.0004311299,0.0007337473,0.00006754701,0.0002311928,0.00005815721,0.00001220695,0.0003306628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5570706,"threshold_uncertainty_score":0.9986498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1830338162392853,"score_gpt":0.5268984341912374,"score_spread":0.3438646179519521,"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."}}