{"id":"W3179360881","doi":"10.1016/j.resuscitation.2021.07.002","title":"Socioeconomically equitable public defibrillator placement using mathematical optimization","year":2021,"lang":"en","type":"article","venue":"Resuscitation","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Michael's Hospital; Queen's University; University of Toronto","funders":"","keywords":"Medicine; Socioeconomic status; Medical emergency; Emergency medicine; Environmental health; Population","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":[],"consensus_categories":[],"category_scores_codex":[0.001515904,0.001343242,0.00211844,0.001591062,0.001023259,0.002749364,0.001372869,0.002882669,0.01380472],"category_scores_gemma":[0.01168281,0.001586165,0.001464671,0.001356984,0.001275154,0.002200791,0.002215841,0.001659062,0.0006775228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002928,"about_ca_system_score_gemma":0.00292647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0207872,"about_ca_topic_score_gemma":0.01285993,"domain_scores_codex":[0.9992765,0.0003934813,0.00002060134,0.00009935406,0.00006794744,0.0001421772],"domain_scores_gemma":[0.9939613,0.004887936,0.0004495707,0.0001189542,0.0003764817,0.0002058477],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002041241,0.0000254747,0.0002351354,0.00001827898,0.00001528195,0.00003559503,0.000008022752,0.9893141,0.00002956289,0.007628512,0.001149782,0.001519884],"study_design_scores_gemma":[0.0000181205,0.00001392664,0.0001187577,0.00001136691,0.000009191574,0.000009955187,0.00002894842,0.9919229,0.00002439571,0.007515624,0.0003219495,0.000004826089],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1900993,0.001434349,0.7002074,0.01344621,0.000607179,0.0003854002,0.002141612,0.0004776716,0.09120087],"genre_scores_gemma":[0.9122242,0.0006206022,0.06587971,0.0005997773,0.0003171753,0.0003041225,0.0005604979,0.0002569207,0.019237],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0207872,"threshold_uncertainty_score":0.04618144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03600005331601973,"score_gpt":0.3029565473061346,"score_spread":0.2669564939901149,"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."}}