{"id":"W2969730092","doi":"10.2196/13133","title":"A Mobile Phone App to Improve the Mental Health of Taxi Drivers: Single-Arm Feasibility Trial","year":2019,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mobile phone; Mental health; mHealth; Mobile apps; Phone; Computer science; Internet privacy; Psychology; Medical emergency; Applied psychology; Medicine; Psychological intervention; Telecommunications; World Wide Web; 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":[0.004545102,0.002301915,0.003605127,0.0007539195,0.001193927,0.002264289,0.001400464,0.003908124,0.01238625],"category_scores_gemma":[0.006501975,0.001204664,0.00312911,0.0004664395,0.001487913,0.002231022,0.001332212,0.00373197,0.002120126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001189949,"about_ca_system_score_gemma":0.002208708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002074977,"about_ca_topic_score_gemma":0.003776522,"domain_scores_codex":[0.998229,0.0007846243,0.0001510105,0.0002983493,0.0001869813,0.0003501111],"domain_scores_gemma":[0.997502,0.0008589742,0.0004672155,0.0002277641,0.0003669428,0.0005771295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.8717834,0.08896974,0.001116967,0.003071196,0.002148065,0.0001228507,0.0005538272,0.0004351295,0.002576195,0.000145634,0.001318442,0.02775866],"study_design_scores_gemma":[0.6821467,0.3109398,0.003430312,0.0002380365,0.0008597963,0.00003630185,0.0002359205,0.0003687688,0.000339226,0.0001798858,0.001191976,0.00003332223],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.883503,0.003174752,0.001610884,0.001093707,0.001127596,0.1039532,0.001756887,0.0002515792,0.003528411],"genre_scores_gemma":[0.8472279,0.002895649,0.00515168,0.001377,0.0008512539,0.1351582,0.0006798145,0.00004516217,0.006613308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01238625,"threshold_uncertainty_score":0.04143608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06022989237586596,"score_gpt":0.4301390932033715,"score_spread":0.3699092008275055,"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."}}