{"id":"W2903365625","doi":"10.2196/12255","title":"Use of Mobile and Computer Devices to Support Recovery in People With Serious Mental Illness: Survey Study","year":2018,"lang":"en","type":"article","venue":"JMIR Mental Health","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mental health; Mental illness; Mood; Active listening; Music therapy; Psychology; Anxiety; Mobile device; Medicine; Psychiatry; Psychotherapist; World Wide Web; 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":[],"consensus_categories":[],"category_scores_codex":[0.0006131363,0.000208788,0.0004342973,0.0002251013,0.0001392207,0.00004541859,0.0001491968,0.00004861731,0.0002319722],"category_scores_gemma":[0.000002816776,0.0001912122,0.00003407957,0.0004320604,0.00009854769,0.0003262034,0.0001756996,0.0001120842,0.000113961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003100933,"about_ca_system_score_gemma":0.00009165145,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01369333,"about_ca_topic_score_gemma":0.0912723,"domain_scores_codex":[0.9976858,0.0003680817,0.0007054821,0.0004972334,0.0002495086,0.0004938664],"domain_scores_gemma":[0.9990304,0.00008030618,0.0002279441,0.0003202533,0.00004822576,0.0002929225],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001685065,0.005080819,0.8686601,0.000175254,0.0000591666,0.00001104041,0.02806802,0.000001467022,0.000002981626,0.0000316296,0.008053964,0.08817051],"study_design_scores_gemma":[0.001493569,0.03175425,0.9588052,0.0002149421,0.000002981064,0.00004437875,0.004779325,0.00001089687,0.00002442956,0.000004790739,0.002678788,0.0001864457],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938594,0.00004775684,0.00001380445,0.0002043869,0.0009879573,0.004076256,0.0005629524,0.00003593752,0.0002115926],"genre_scores_gemma":[0.9972821,0.000002856246,0.0002898818,0.001068443,0.00004209455,0.0004919454,0.0001319256,0.00003499847,0.0006557204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09014513,"threshold_uncertainty_score":0.9928746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04429481764397825,"score_gpt":0.4100267271511774,"score_spread":0.3657319095071991,"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."}}