{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05092385,0.0005764955,0.0007591021,0.002244795,0.001590996,0.001415014,0.0007275517,0.0006669505,0.001314187],"category_scores_gemma":[0.1227573,0.0004965324,0.001238496,0.001473835,0.001779645,0.0009779031,0.002244344,0.001017929,0.0006276012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009131613,"about_ca_system_score_gemma":0.002478736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002115844,"about_ca_topic_score_gemma":0.003746487,"domain_scores_codex":[0.9552925,0.02057084,0.005545992,0.004750359,0.01285928,0.0009810707],"domain_scores_gemma":[0.8426676,0.07127519,0.01335944,0.01475299,0.05627852,0.001666295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001131037,0.002602592,0.8799113,0.0009835407,0.000636025,0.0005369466,0.03110013,0.000378584,0.007402701,0.0009726177,0.00180222,0.07254234],"study_design_scores_gemma":[0.0002525621,0.005185993,0.9594868,0.0005112742,0.0008210861,0.001051388,0.0105771,0.00433108,0.00842933,0.0005081755,0.008753334,0.00009179125],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9739339,0.0003297457,0.01528244,0.0001035986,0.00008963882,0.006192952,0.0005941998,0.00005227749,0.003421272],"genre_scores_gemma":[0.9700041,0.0002323791,0.02103887,0.0002126489,0.00007715658,0.006185388,0.001077908,0.00004896809,0.001122712],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05092385,"threshold_uncertainty_score":0.2693142,"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."}}