{"id":"W4401955491","doi":"10.1016/j.hrthm.2024.08.008","title":"Managing data overload: AI, wearables, and apps","year":2024,"lang":"en","type":"article","venue":"Heart Rhythm","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Wearable computer; Information overload; Wearable technology; Internet privacy; World Wide Web; Embedded system; Computer science","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":[0.002094701,0.0008939996,0.0005512738,0.001913978,0.0008778087,0.005000744,0.0009418511,0.001563824,0.00460546],"category_scores_gemma":[0.008673739,0.000351917,0.0004220257,0.001118549,0.001583107,0.00637706,0.002095406,0.001589707,0.0009059104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004079589,"about_ca_system_score_gemma":0.0008042503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001118046,"about_ca_topic_score_gemma":0.001160955,"domain_scores_codex":[0.9986494,0.0005379656,0.00009845158,0.0001929308,0.0003950281,0.0001262005],"domain_scores_gemma":[0.9912781,0.006142349,0.0006025305,0.0004661971,0.0008815394,0.0006291792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004776004,0.0006814021,0.0192305,0.001671736,0.0002269142,0.0004215561,0.004744809,0.002150559,0.01091877,0.03571126,0.0254304,0.8983344],"study_design_scores_gemma":[0.0003153004,0.00296971,0.06977426,0.006172555,0.001109747,0.006894067,0.02331239,0.05442976,0.02649431,0.4003788,0.4075913,0.0005578169],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2423197,0.152283,0.3807688,0.0629075,0.005175517,0.0004598847,0.0006328531,0.006057556,0.1493952],"genre_scores_gemma":[0.8516163,0.03861357,0.088066,0.006336259,0.003071689,0.000238442,0.0002045916,0.0002863567,0.01156678],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005000744,"threshold_uncertainty_score":0.01540685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0481925389607203,"score_gpt":0.3887042793115419,"score_spread":0.3405117403508217,"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."}}