{"id":"W3004484909","doi":"10.2196/16237","title":"An Automated Mobile Mood Tracking Technology (Mood 24/7): Validation Study","year":2020,"lang":"en","type":"article","venue":"JMIR Mental Health","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mood; Medicine; Psychiatry; Tracking (education); Clinical psychology; Psychology","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":[0.009750297,0.0009393753,0.0006451953,0.0006288716,0.000814068,0.0006172851,0.0009850576,0.0009796143,0.001404202],"category_scores_gemma":[0.009090328,0.0003566971,0.0008057116,0.0003287237,0.0008406322,0.0005967913,0.0007584702,0.0008908915,0.001025336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006471049,"about_ca_system_score_gemma":0.001418487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003174093,"about_ca_topic_score_gemma":0.004131144,"domain_scores_codex":[0.9966672,0.001845689,0.0002372061,0.0003485014,0.0006975619,0.0002038688],"domain_scores_gemma":[0.9935813,0.00187714,0.0007362254,0.0008737067,0.002331767,0.0005998258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.017286,0.121706,0.6439106,0.001440148,0.001092872,0.001790568,0.007881005,0.002768944,0.03255504,0.0008688647,0.007321579,0.1613784],"study_design_scores_gemma":[0.006552313,0.1906584,0.7663054,0.0002667926,0.0008047153,0.001978247,0.002883142,0.01020034,0.009338644,0.000330211,0.01058072,0.0001009459],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908433,0.000104257,0.003323584,0.00008000984,0.00003896528,0.003761152,0.0006677286,0.00004779109,0.001133192],"genre_scores_gemma":[0.9766189,0.0003056334,0.01221463,0.0005638262,0.00006861123,0.005834536,0.00299055,0.00004175981,0.001361573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009750297,"threshold_uncertainty_score":0.05156511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04928272580354664,"score_gpt":0.4585622593342698,"score_spread":0.4092795335307232,"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."}}