{"id":"W3170297625","doi":"10.2196/27891","title":"Associations Between Physiological Signals Captured Using Wearable Sensors and Self-reported Outcomes Among Adults in Alcohol Use Disorder Recovery: Development and Usability Study","year":2021,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Emotion and Mood Recognition","field":"Psychology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Washington State University","keywords":"Psychological intervention; Wearable computer; Heart rate variability; Medicine; Usability; Alcohol use disorder; Wearable technology; Stress measures; Psychology; Clinical psychology; Applied psychology; Stress (linguistics); Psychiatry; Heart rate; Computer science; Alcohol; Human–computer interaction","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001586018,0.000148812,0.0003615961,0.0002160619,0.0003075387,0.000095856,0.00005548495,0.0001711063,0.0001726529],"category_scores_gemma":[0.0004770859,0.000125038,0.00004024841,0.000503363,0.0001107266,0.000393271,0.0001010362,0.0005049469,0.00001885925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001500473,"about_ca_system_score_gemma":0.00008619452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008746368,"about_ca_topic_score_gemma":0.001105823,"domain_scores_codex":[0.9965728,0.001698793,0.0005148461,0.0004093179,0.0003887707,0.0004155023],"domain_scores_gemma":[0.9984134,0.0007688535,0.0001377181,0.0001739637,0.00038902,0.0001169938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003467891,0.00121613,0.9713751,0.00001926478,0.0002724171,0.00002226261,0.02447822,0.00001512586,0.00003317283,0.000003798629,0.00005613072,0.002473663],"study_design_scores_gemma":[0.001683119,0.0001591967,0.9848701,0.00004567186,0.00001505203,0.000003178895,0.01259297,0.0002025196,0.0001013292,0.000157546,0.00002627016,0.0001429847],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99827,0.00002776271,0.00002941894,0.00008060847,0.0000531815,0.001057139,0.00005084754,0.00003198922,0.0003990636],"genre_scores_gemma":[0.9993135,0.00001394632,0.0002047695,0.00001767587,0.00001496607,0.000088834,0.0001095858,0.000009642822,0.0002270874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01349503,"threshold_uncertainty_score":0.5098903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1680672099204147,"score_gpt":0.4437188206457218,"score_spread":0.2756516107253071,"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."}}