{"id":"W4310569527","doi":"10.2196/40339","title":"The Passive Monitoring of Depression and Anxiety Among Workers Using Digital Biomarkers Based on Their Physical Activity and Working Conditions: 2-Week Longitudinal Study","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Japan Society for the Promotion of Science; Japan Agency for Medical Research and Development","keywords":"Anxiety; Depression (economics); Distress; Psychology; Population; Longitudinal study; Clinical psychology; Medicine; Psychiatry; Environmental health","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0007468918,0.0001376726,0.0001725702,0.0002212674,0.001353445,0.00015066,0.0001845841,0.00003032709,0.00001141249],"category_scores_gemma":[0.00004415602,0.0001018656,0.00007153728,0.0004739403,0.0005362295,0.0004411909,0.0004424293,0.0006026991,0.000002126025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002420883,"about_ca_system_score_gemma":0.00003747035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008658784,"about_ca_topic_score_gemma":0.000006394966,"domain_scores_codex":[0.9977987,0.0006916496,0.0002157949,0.0002979186,0.0005805208,0.0004153593],"domain_scores_gemma":[0.9980538,0.001336365,0.0001642316,0.0002534461,0.00007814748,0.0001140174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0012387,0.003846987,0.8260179,0.00005007967,0.0001815253,0.00001146684,0.008722584,0.00003577235,0.00006620441,0.0001270733,0.0001168946,0.1595848],"study_design_scores_gemma":[0.0007684839,0.001588333,0.9486697,0.0002071697,0.000005987131,0.000006116993,0.0459194,0.002136992,0.0002541481,0.0003287324,0.00002448117,0.00009046411],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972262,0.00006847992,0.00003138746,0.00007609458,0.0002324272,0.001030141,0.00009715235,0.00001922768,0.001218835],"genre_scores_gemma":[0.9992604,0.000001788458,0.00000622695,0.000001648555,0.00003012468,0.0006426441,0.000006103955,0.00001675165,0.0000343165],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1594943,"threshold_uncertainty_score":0.9999467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1445437969907238,"score_gpt":0.4808899290298721,"score_spread":0.3363461320391483,"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."}}