{"id":"W4407948201","doi":"10.1016/j.jacadv.2024.101573","title":"Gaps in Public Access Defibrillation","year":2025,"lang":"en","type":"article","venue":"JACC Advances","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institutes of Health; National Heart, Lung, and Blood Institute; Fulbright Australia","keywords":"Public access; Business; Computer science; Internet privacy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008372468,0.00005148317,0.0001226807,0.0001828321,0.00003205384,0.00002935057,0.00003488701,0.00003611525,0.00001607717],"category_scores_gemma":[0.0001521521,0.00004252241,0.00004040814,0.0004469457,0.00002341251,0.0003763556,0.00002463936,0.00005682696,0.00001139059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004629211,"about_ca_system_score_gemma":0.00005874332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001003877,"about_ca_topic_score_gemma":0.00006301839,"domain_scores_codex":[0.9995304,0.00001726958,0.000126192,0.0001228402,0.0000977036,0.0001055371],"domain_scores_gemma":[0.9997368,0.00006242408,0.00003033792,0.00009629848,0.00004798274,0.00002614987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007022329,0.00002419944,0.8833379,0.0001151403,0.00001311115,0.000004774058,0.00006323599,0.0001303805,0.0004917363,0.003584027,0.001085007,0.1110803],"study_design_scores_gemma":[0.0006460358,0.000009379099,0.8052773,0.000114342,0.0000127083,9.604057e-7,0.0001223126,0.0001165172,0.0005871433,0.006363239,0.186694,0.00005609077],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8167678,0.004897905,0.001147298,0.006124241,0.001721807,0.0003387217,0.000001690487,0.00007457015,0.1689259],"genre_scores_gemma":[0.9983734,0.0005351243,0.0002995446,0.0002384468,0.0001325868,0.00001298397,0.00001752512,0.000003807253,0.0003865277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.185609,"threshold_uncertainty_score":0.1734013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01774904296281395,"score_gpt":0.3511857034401616,"score_spread":0.3334366604773477,"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."}}