{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001703866,0.0003851318,0.0006257878,0.0001959758,0.002869216,0.00001302363,0.0002436828,0.0001735254,0.0003448793],"category_scores_gemma":[0.00004130093,0.0002560935,0.0002265345,0.0003218917,0.00006606893,0.0002772521,0.0001469087,0.000515205,0.0003822345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001794423,"about_ca_system_score_gemma":0.001317057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004943771,"about_ca_topic_score_gemma":0.0005612206,"domain_scores_codex":[0.9946434,0.0006627231,0.0015608,0.0008301463,0.0005139997,0.001788942],"domain_scores_gemma":[0.9967552,0.0003772133,0.0009700406,0.000628611,0.0001317574,0.001137194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002681734,0.003009782,0.01382678,0.004857102,0.0001143421,0.00000266502,0.009567116,0.000001425466,0.0002547415,0.008021575,0.1182428,0.83942],"study_design_scores_gemma":[0.02570855,0.01097741,0.01481797,0.004550847,0.00004030313,0.000005391286,0.007983598,0.00006940994,0.0001259804,0.0007944338,0.93415,0.0007761071],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9043053,0.001836186,0.01316427,0.0232035,0.003239587,0.05202699,0.001137992,0.0005635232,0.0005226659],"genre_scores_gemma":[0.8755472,0.000648808,0.004377321,0.003369696,0.0004239248,0.11411,0.0003445121,0.0001056084,0.001072953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8386438,"threshold_uncertainty_score":0.9999892,"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."}}