{"id":"W2489072374","doi":"10.2196/mhealth.5284","title":"Psychologist in a Pocket: Lexicon Development and Content Validation of a Mobile-Based App for Depression Screening","year":2016,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lexicon; Mental health; Psychology; Experience sampling method; Mood; mHealth; Mobile technology; Schema (genetic algorithms); Psychological intervention; Mental lexicon; Applied psychology; Mobile device; Clinical psychology; Computer science; Artificial intelligence; Psychiatry; Social psychology; World Wide Web; Machine learning","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":[0.005041445,0.0009437914,0.0004903166,0.001579085,0.0005762961,0.001546232,0.001149621,0.0006928763,0.005617583],"category_scores_gemma":[0.02503722,0.0005192405,0.0005676881,0.0005107194,0.0006233138,0.001430136,0.002359583,0.0008683599,0.003188749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000732018,"about_ca_system_score_gemma":0.002138151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001965344,"about_ca_topic_score_gemma":0.003926774,"domain_scores_codex":[0.9979134,0.0009490954,0.0002430916,0.0003491057,0.0004338488,0.0001114592],"domain_scores_gemma":[0.98664,0.00855788,0.0004563277,0.001100447,0.002895803,0.000349389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002950676,0.002980377,0.03872966,0.003385342,0.0001550321,0.003988928,0.03128682,0.001658671,0.08754983,0.001764689,0.04427957,0.7812704],"study_design_scores_gemma":[0.0049615,0.01543981,0.2556118,0.004163336,0.001610156,0.01175357,0.03900081,0.09883124,0.2371718,0.01098988,0.3195476,0.000918587],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8010232,0.000701696,0.122439,0.001335098,0.0003971396,0.03125382,0.009354845,0.0140936,0.01940149],"genre_scores_gemma":[0.5142183,0.0004458503,0.4482923,0.0008993974,0.00007689806,0.01506749,0.009394011,0.001646731,0.00995911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005617583,"threshold_uncertainty_score":0.02666205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1881632287052206,"score_gpt":0.4661557462034989,"score_spread":0.2779925174982783,"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."}}