{"id":"W4415791615","doi":"10.1161/circ.152.suppl_3.or105","title":"Abstract Or105: <i>“If it Can Help Someone, Then They Want to Do It”:</i> Demonstrating Feasibility of End-of-Life Studies to Support Development and Validation of Cardiac Arrest Detection Technologies with Consumer Smartwatches","year":2025,"lang":"en","type":"article","venue":"Circulation","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"North York General Hospital; University of Toronto; University of British Columbia; Trinity Western University","funders":"","keywords":"Smartwatch; Timeline; Wearable computer; Observational study; Wearable technology; Activity tracker; Clinical trial; Basic life support","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.007852511,0.0006462532,0.0006396241,0.0008246208,0.001230508,0.002543232,0.001212676,0.003143589,0.2425502],"category_scores_gemma":[0.03127364,0.0002111414,0.0009637676,0.0005724874,0.0007571367,0.001198336,0.001865282,0.001551462,0.06791809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001262403,"about_ca_system_score_gemma":0.002815702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003911742,"about_ca_topic_score_gemma":0.008852998,"domain_scores_codex":[0.9968994,0.001019634,0.0003500922,0.0002462838,0.001172577,0.0003120503],"domain_scores_gemma":[0.977667,0.007778964,0.001791375,0.001781003,0.008880911,0.0021008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001412555,0.0004567952,0.008277935,0.0009399203,0.00005415652,0.0002172322,0.0001469214,0.000111747,0.001810808,0.000873552,0.9014523,0.08424606],"study_design_scores_gemma":[0.001508635,0.003132499,0.06073598,0.003006567,0.000175891,0.0007493963,0.0006867924,0.001087255,0.005781346,0.001845222,0.9211859,0.0001045058],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06815676,0.004498737,0.0229312,0.1368008,0.03333625,0.01409081,0.12016,0.008423087,0.5916024],"genre_scores_gemma":[0.3330539,0.005965476,0.03869445,0.1430575,0.01970924,0.0206975,0.08144526,0.003798971,0.3535777],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2425502,"threshold_uncertainty_score":0.8114111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04045186512223183,"score_gpt":0.3115740025863121,"score_spread":0.2711221374640803,"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."}}