{"id":"W4327894021","doi":"10.2196/45405","title":"Exploring Digital Biomarkers of Illness Activity in Mood Episodes: Hypotheses Generating and Model Development Study","year":2023,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Social Fund; Instituto de Salud Carlos III; Agència de Gestió d'Ajuts Universitaris i de Recerca; Fundación Bancaria Caixa d'Estalvis i Pensions de Barcelona; Centres de Recerca de Catalunya; Centro de Investigación Biomédica en Red de Salud Mental; Ministerio de Ciencia e Innovación; Generalitat de Catalunya; European Regional Development Fund; European Commission; Ministerio de Ciencia, Innovación y Universidades; UK Research and Innovation","keywords":"Mood; Psychology; mHealth; Clinical psychology; Medicine; Psychiatry; Psychological intervention","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":[0.0006842732,0.0001924524,0.0003675026,0.0004097531,0.0002193834,0.00004115872,0.00009465794,0.00005014589,0.000003590335],"category_scores_gemma":[0.00004267104,0.0001895039,0.00002995483,0.0004871741,0.0000704273,0.0004289489,0.0001208609,0.0001706075,0.00001258659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001315088,"about_ca_system_score_gemma":0.0001664204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003653732,"about_ca_topic_score_gemma":0.0004129539,"domain_scores_codex":[0.9979715,0.0001220242,0.0006295602,0.0004610388,0.0002058774,0.0006100484],"domain_scores_gemma":[0.9990366,0.0001996923,0.0002126637,0.0002045148,0.00002688719,0.0003196226],"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":[0.0004483946,0.002711995,0.1122768,0.002404941,0.00006368764,0.0000176991,0.05367725,0.00008133577,0.00002609194,0.0007450763,0.00007295346,0.8274737],"study_design_scores_gemma":[0.002495778,0.00133535,0.9603406,0.0003543212,0.00001585897,0.00001327008,0.0274701,0.006763738,0.0001109734,0.0006581008,0.00006024758,0.0003816362],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974017,0.0001167571,0.00005582361,0.0002749166,0.00025788,0.0009706747,0.00005737108,0.00008801832,0.0007769188],"genre_scores_gemma":[0.9988816,0.00003753518,0.0001787588,0.00004338724,0.0000271732,0.00064614,0.000009601032,0.00002987067,0.0001459523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8480638,"threshold_uncertainty_score":0.7727746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2705512415205293,"score_gpt":0.4407470177894933,"score_spread":0.1701957762689639,"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."}}