{"id":"W4289323362","doi":"10.2196/36972","title":"Passively Captured Interpersonal Social Interactions and Motion From Smartphones for Predicting Decompensation in Heart Failure: Observational Cohort Study","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Heart, Lung, and Blood Institute; Georgia Research Alliance; National Institutes of Health; National Science Foundation","keywords":"Decompensation; Medicine; Cohort; Artificial intelligence; Physical medicine and rehabilitation; Computer science; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002933355,0.0005901761,0.0005130984,0.0005944674,0.0006441578,0.0008554914,0.000733358,0.000805162,0.001271191],"category_scores_gemma":[0.006366363,0.0004788127,0.001383276,0.0006022057,0.0002730513,0.0006394793,0.0008742656,0.001136799,0.0003590449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002555153,"about_ca_system_score_gemma":0.0004680947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007354412,"about_ca_topic_score_gemma":0.009420751,"domain_scores_codex":[0.9990091,0.0003328071,0.0001055369,0.0003018257,0.0001361128,0.0001145238],"domain_scores_gemma":[0.9967768,0.0008085583,0.0008116285,0.0007867275,0.0004847964,0.0003315505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003077741,0.0001942792,0.9978099,0.00001493677,0.000272337,0.00004099144,0.0000890103,0.00007848893,0.000150271,0.00001107062,0.0001480131,0.000882967],"study_design_scores_gemma":[0.00004900121,0.0006621843,0.995912,0.00001538895,0.0002166692,0.0001905256,0.0003508027,0.002258824,0.00007528327,0.00003260887,0.0002220778,0.00001464228],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988973,0.00007478626,0.0002609359,0.00001464791,0.000006512583,0.00002852705,0.0006279676,0.000003825561,0.00008542838],"genre_scores_gemma":[0.9979959,0.00007053818,0.0003631235,0.00002514982,0.00001550602,0.00005861355,0.001340449,0.000003809002,0.0001270238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007354412,"threshold_uncertainty_score":0.01551324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1536842325561011,"score_gpt":0.5135651896463479,"score_spread":0.3598809570902468,"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."}}