{"id":"W4225771969","doi":"10.2196/35549","title":"Smartphone Sensor Data for Identifying and Monitoring Symptoms of Mood Disorders: A Longitudinal Observational Study","year":2022,"lang":"en","type":"article","venue":"JMIR Mental Health","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Circadian rhythm; Observational study; Mood; Rhythm; Anxiety; Psychology; Bipolar disorder; Mental health; Mood disorders; Medicine; Clinical psychology; Psychiatry; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007354766,0.0001513913,0.0002770808,0.0001287659,0.0005734132,0.00002861744,0.0003449102,0.00002254435,0.0001447013],"category_scores_gemma":[0.0000102799,0.00017506,0.00005883821,0.0002352766,0.00005116761,0.0002738508,0.0006341198,0.0001695075,0.000007513713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002783751,"about_ca_system_score_gemma":0.00006918212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007854649,"about_ca_topic_score_gemma":0.0003964014,"domain_scores_codex":[0.9978142,0.0001830425,0.0006859954,0.0005425013,0.0003756207,0.000398673],"domain_scores_gemma":[0.9988685,0.0001150931,0.0003232689,0.0005247734,0.00002388055,0.0001444638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007675009,0.008391627,0.9280777,0.0007258871,0.0002331305,0.000001991856,0.00719661,0.000003196904,0.00003004011,0.001615652,0.002504007,0.05045268],"study_design_scores_gemma":[0.003097351,0.004684925,0.9687517,0.0001052017,0.00001617402,0.00002830967,0.0216397,0.00007618545,0.000008630642,0.0004260967,0.001006819,0.0001588611],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900242,0.0004091476,0.00007739684,0.001376237,0.002147315,0.00290361,0.002814671,0.00004735426,0.0002000663],"genre_scores_gemma":[0.996646,0.000002902301,0.0005334163,0.00005500448,0.00009194547,0.001222918,0.0006268092,0.00003238368,0.0007885881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05029381,"threshold_uncertainty_score":0.7138739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2474303360866855,"score_gpt":0.4966262291898626,"score_spread":0.2491958931031771,"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."}}