{"id":"W3100785793","doi":"10.1161/circ.142.suppl_4.138","title":"Abstract 138: Socioeconomically Equitable Public Defibrillator Placement Using Mathematical Optimization","year":2020,"lang":"en","type":"article","venue":"Circulation","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; University of Toronto","funders":"","keywords":"Medicine; Incidence (geometry); Wilcoxon signed-rank test; Internal 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002103826,0.001264607,0.001377506,0.001080261,0.0005442568,0.001987688,0.001250649,0.001140278,0.01148924],"category_scores_gemma":[0.008472992,0.0007284842,0.001571165,0.001105977,0.0009524435,0.001383723,0.001761658,0.001187098,0.0008414849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002774734,"about_ca_system_score_gemma":0.00341089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02687369,"about_ca_topic_score_gemma":0.0118362,"domain_scores_codex":[0.9990479,0.0004790579,0.00003495468,0.0001561037,0.0001439563,0.0001378963],"domain_scores_gemma":[0.9966157,0.002394709,0.0004011956,0.00009378645,0.0003935208,0.0001011242],"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":[0.00003812268,0.00003624173,0.00231823,0.0001177154,0.0000571398,0.00007167833,0.00003391309,0.9764825,0.0001628567,0.01064117,0.003303802,0.006736456],"study_design_scores_gemma":[0.00003594369,0.00004316671,0.0008630839,0.00005234292,0.00003047239,0.00004013432,0.00005998513,0.9865123,0.0001510761,0.00970272,0.002495516,0.00001333063],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.118549,0.001876296,0.8252965,0.005275488,0.0003126552,0.0003950542,0.003063866,0.0005100829,0.04472112],"genre_scores_gemma":[0.8047246,0.00161197,0.1743632,0.0006888233,0.0002744382,0.000620124,0.001989686,0.0004116982,0.01531538],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02687369,"threshold_uncertainty_score":0.05343449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05602459235356543,"score_gpt":0.2920429940407864,"score_spread":0.236018401687221,"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."}}