{"id":"W2964526949","doi":"10.2196/12051","title":"Validation of an mHealth App for Depression Screening and Monitoring (Psychologist in a Pocket): Correlational Study and Concurrence Analysis","year":2019,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"mHealth; Construct validity; Affect (linguistics); Clinical psychology; Psychology; Beck Depression Inventory; Mental health; Psychological intervention; Medicine; Psychometrics; Psychiatry","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":[0.001194833,0.0001719769,0.0004591467,0.0004651344,0.0001722701,0.00003238331,0.00008985852,0.0001164619,0.00002392951],"category_scores_gemma":[0.000031631,0.0001711901,0.00004106477,0.0004675166,0.00007661057,0.0002799323,0.0000477994,0.000230723,0.000002288076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006342554,"about_ca_system_score_gemma":0.00006731731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000970203,"about_ca_topic_score_gemma":0.0001240983,"domain_scores_codex":[0.9976326,0.0002860303,0.0008264646,0.0006235302,0.0001996138,0.000431778],"domain_scores_gemma":[0.9985312,0.0003061653,0.0004709437,0.0002574231,0.00006799136,0.0003662725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005766189,0.0007211729,0.9055647,0.0006374151,0.00003603819,9.876436e-7,0.001970279,0.00001396672,0.000003433906,0.0007258274,0.00001612994,0.08973342],"study_design_scores_gemma":[0.002782691,0.002232978,0.990475,0.0001501412,0.00008674326,0.000008499607,0.002467163,0.001328831,0.000007518292,0.0003060692,0.00003314657,0.0001212104],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950525,0.001330818,0.0006595498,0.0002152742,0.0004229004,0.001989472,0.0001041074,0.00003192635,0.0001935221],"genre_scores_gemma":[0.9985373,0.00003786188,0.0008389271,0.0001026682,0.0000508396,0.0002419459,0.00008090356,0.00001614434,0.00009342859],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08961221,"threshold_uncertainty_score":0.6980929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1107904747707874,"score_gpt":0.4946743630475955,"score_spread":0.3838838882768082,"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."}}