{"id":"W4210640984","doi":"10.1016/j.resuscitation.2022.01.029","title":"Modeling optimal AED placement to improve cardiac arrest survival: The challenge is implementation","year":2022,"lang":"en","type":"letter","venue":"Resuscitation","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta; Canadian VIGOUR Centre","funders":"","keywords":"Medicine; Cardiopulmonary resuscitation; Automated external defibrillator; Medical emergency; Intensive care medicine; Resuscitation; Emergency medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001161337,0.0004837856,0.0006345962,0.0003841468,0.000518763,0.0001377273,0.0002464042,0.0003681843,0.0003797417],"category_scores_gemma":[0.0001154767,0.0003948097,0.0005231249,0.0004871013,0.00004494379,0.0001528535,0.0001793623,0.001458643,0.0001149467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000771249,"about_ca_system_score_gemma":0.0003228835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004281277,"about_ca_topic_score_gemma":0.0000362638,"domain_scores_codex":[0.9954936,0.0004075526,0.0007552413,0.0009156381,0.001791006,0.0006369773],"domain_scores_gemma":[0.9981055,0.0002769743,0.0002748048,0.0008395389,0.0003646656,0.0001385145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005653407,0.00005127546,0.00009660016,0.0005430474,0.0007201947,0.00006758486,0.008967564,0.01002232,0.0008078726,0.00007355106,0.9723544,0.005730244],"study_design_scores_gemma":[0.002093165,0.00059564,0.0006379279,0.0001776866,0.001046936,0.000001339813,0.01015457,0.009936273,0.000169366,0.0001388503,0.9742328,0.0008154672],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.02344757,0.0005789844,0.002076042,0.9418873,0.02271777,0.005580458,0.0007451896,0.0002190792,0.002747633],"genre_scores_gemma":[0.2067622,0.002055163,0.003199574,0.6631799,0.07571213,0.007820398,0.03608752,0.0009784343,0.00420466],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2787074,"threshold_uncertainty_score":0.9998504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03004471628703479,"score_gpt":0.3177552018902361,"score_spread":0.2877104856032013,"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."}}