{"id":"W2496523590","doi":"10.2196/mental.6348","title":"mHealth for Schizophrenia: Patient Engagement With a Mobile Phone Intervention Following Hospital Discharge","year":2016,"lang":"en","type":"article","venue":"JMIR Mental Health","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":146,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"mHealth; Psychological intervention; Intervention (counseling); Mobile phone; Mobile technology; Medicine; Schizophrenia (object-oriented programming); Focus group; Psychology; Psychiatry; Clinical psychology; Mobile device; Computer science","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":[0.001367457,0.0002139126,0.000380213,0.0004388152,0.000827607,0.0005507814,0.0003389917,0.000394416,0.00309872],"category_scores_gemma":[0.004558667,0.0001394582,0.0004771934,0.0003647682,0.0002063463,0.0005877962,0.001296695,0.0006969197,0.0003303706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008197563,"about_ca_system_score_gemma":0.001813737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00303633,"about_ca_topic_score_gemma":0.009230238,"domain_scores_codex":[0.9993135,0.000292544,0.00008437868,0.00005229008,0.00009620169,0.0001611109],"domain_scores_gemma":[0.9983026,0.0003924883,0.0006541638,0.00004624428,0.00009630639,0.0005082248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.003063367,0.006057302,0.663655,0.0007871414,0.0001776754,0.0003668304,0.007840229,0.000226925,0.001489979,0.0001525609,0.004024959,0.312158],"study_design_scores_gemma":[0.0004499088,0.007123864,0.982464,0.0002908205,0.00009953274,0.0002893888,0.004968957,0.0004482821,0.0005978448,0.0001719853,0.003062645,0.00003267344],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968932,0.0002627716,0.0001707275,0.0004718445,0.00001239136,0.0003782864,0.000298322,0.00003147243,0.001480993],"genre_scores_gemma":[0.9970326,0.0004459466,0.0009036239,0.0002229366,0.00002555007,0.000604224,0.0002537496,0.000003196171,0.0005080689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00309872,"threshold_uncertainty_score":0.01036626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02373033151571586,"score_gpt":0.4059161561198532,"score_spread":0.3821858246041373,"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."}}