{"id":"W2156361351","doi":"10.1186/1472-6947-13-78","title":"No personalization without participation: on the active contribution of psychiatric patients to the development of a mobile application for mental health","year":2013,"lang":"en","type":"article","venue":"BMC Medical Informatics and Decision Making","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Hôpital Louis-H Lafontaine; Institut Universitaire en Santé Mentale de Québec","funders":"Canadian Institutes of Health Research; Yale University","keywords":"Mental health; Focus group; Mood; Personalization; Medicine; Outpatient clinic; Data collection; Empowerment; Mobile technology; Psychiatry; Mobile device; Psychology; World Wide Web; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007221542,0.0000731433,0.0001414779,0.00006607322,0.0001888696,0.00001767249,0.0001253827,0.00004538204,0.0001085119],"category_scores_gemma":[0.0002434054,0.00004204742,0.00004071922,0.000158111,0.00003740459,0.00008543462,0.00004982484,0.00005357726,0.00005997869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005917298,"about_ca_system_score_gemma":0.0000917166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007409423,"about_ca_topic_score_gemma":0.00004231888,"domain_scores_codex":[0.9983825,0.00004539172,0.0008997248,0.00007906495,0.00045007,0.0001432286],"domain_scores_gemma":[0.998462,0.0005824222,0.0004912522,0.0001432899,0.0002307746,0.00009023746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003284374,0.0004447419,0.002748598,0.0001569307,0.00002188463,2.801146e-9,0.006522406,0.00002547054,5.13966e-7,0.01218262,0.004671223,0.9728972],"study_design_scores_gemma":[0.01340723,0.01058822,0.28676,0.005899621,0.00008510855,0.000006923681,0.027819,0.5668166,0.0003242345,0.01393333,0.07348695,0.0008727934],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5204687,0.00002264531,0.476261,0.0001683628,0.0003484452,0.002244612,0.00003269302,0.00000614218,0.000447318],"genre_scores_gemma":[0.9812201,0.000001603862,0.01693686,0.000766677,0.00002107136,0.000979887,0.00005048227,0.00000497523,0.00001828635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9720244,"threshold_uncertainty_score":0.1714644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04083000725175897,"score_gpt":0.4218280635427908,"score_spread":0.3809980562910319,"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."}}