{"id":"W2109332600","doi":"10.1016/j.resuscitation.2015.09.392","title":"The PulsePoint Respond mobile device application to crowdsource basic life support for patients with out-of-hospital cardiac arrest: Challenges for optimal implementation","year":2015,"lang":"en","type":"article","venue":"Resuscitation","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":171,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University; University of Toronto; Kingston General Hospital; St. Michael's Hospital","funders":"Heart and Stroke Foundation of Canada","keywords":"Medicine; Basic life support; Medical emergency; Automated external defibrillator; Intensive care medicine; Cardiopulmonary resuscitation; Emergency medicine; Resuscitation","routes":{"ca_aff":true,"ca_fund":true,"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":[0.008202727,0.0006061138,0.0005462393,0.0004225812,0.001029053,0.002569329,0.002547897,0.002316863,0.01767697],"category_scores_gemma":[0.02595074,0.0003057725,0.0006575465,0.0003665129,0.0005184485,0.002841908,0.004423377,0.002404654,0.008094504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006609515,"about_ca_system_score_gemma":0.003095027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00370775,"about_ca_topic_score_gemma":0.004901513,"domain_scores_codex":[0.9966537,0.001724432,0.0001686843,0.0003845126,0.000779629,0.0002889721],"domain_scores_gemma":[0.9861632,0.007576748,0.0003819833,0.001213817,0.002959643,0.001704646],"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":[0.001056489,0.0009698377,0.01141007,0.001299534,0.0001716433,0.0005061832,0.003129073,0.001785933,0.007605435,0.004781133,0.236469,0.7308157],"study_design_scores_gemma":[0.001444793,0.004619957,0.04943692,0.004799334,0.0005591271,0.001156003,0.02693762,0.06033847,0.01500254,0.05146985,0.7836391,0.0005962074],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2116537,0.004434789,0.3968626,0.1973504,0.01123694,0.008725008,0.006457578,0.03642877,0.1268502],"genre_scores_gemma":[0.5624499,0.003187424,0.3630964,0.02413953,0.001975304,0.008228282,0.003460893,0.001370094,0.03209222],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01767697,"threshold_uncertainty_score":0.05913538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01974374687990722,"score_gpt":0.315171298517903,"score_spread":0.2954275516379958,"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."}}