{"id":"W3029721994","doi":"10.1016/j.jad.2020.05.116","title":"The utility of smartphone-based, ecological momentary assessment for depressive symptoms","year":2020,"lang":"en","type":"review","venue":"Journal of Affective Disorders","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":93,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Brain and Cognition Discovery Foundation; University Health Network","funders":"","keywords":"PsycINFO; MEDLINE; Mood; Major depressive disorder; Experience sampling method; Depression (economics); Randomized controlled trial; Medicine; Psychology; Clinical psychology; Psychiatry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008093276,0.0003758568,0.001565619,0.0001621176,0.0001665378,0.00003713143,0.0006227758,0.0002314297,0.0001952363],"category_scores_gemma":[0.0003060245,0.0002340391,0.001975541,0.0002918215,0.0002902313,0.0001010769,0.00009690571,0.0007209364,0.00001192149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003803398,"about_ca_system_score_gemma":0.0005093989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002425978,"about_ca_topic_score_gemma":0.00007183573,"domain_scores_codex":[0.9965925,0.0008875571,0.001473279,0.0003278372,0.0003375315,0.0003812831],"domain_scores_gemma":[0.9931592,0.003648453,0.002501506,0.0002968364,0.0002089723,0.0001850418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001970663,0.001402367,0.0002415214,0.002888251,0.001430636,0.0000105035,0.00003677266,0.000001074832,6.12859e-8,0.0005406606,0.006761457,0.9864897],"study_design_scores_gemma":[0.002191349,0.00728177,0.00564201,0.004562046,0.001515614,0.00004987559,0.0003377357,0.000023717,0.000002866244,0.003186697,0.9748938,0.0003125309],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002459785,0.9879159,0.002186598,0.0005857704,0.003079453,0.002697274,0.0005060773,0.00001303043,0.002769936],"genre_scores_gemma":[0.05066705,0.9466111,0.0003407706,0.0002354911,0.000332933,0.001412815,0.0001088909,0.0001281205,0.0001628234],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9861771,"threshold_uncertainty_score":0.9543837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04066630927941134,"score_gpt":0.4422794039052985,"score_spread":0.4016130946258872,"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."}}