{"id":"W2809343546","doi":"10.2196/mental.9539","title":"Patient Willingness to Consent to Mobile Phone Data Collection for Mental Health Apps: Structured Questionnaire","year":2018,"lang":"en","type":"article","venue":"JMIR Mental Health","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"NOSM University; Lakehead University; Adler; START Clinic; University of Toronto","funders":"","keywords":"Mobile phone; Internet privacy; Mental health; Informed consent; Data collection; Population; Phone; mHealth; Psychology; Medicine; Computer science; Psychiatry; Psychological intervention; Environmental health; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000620046,0.0003603596,0.0005008399,0.0002464641,0.001112558,0.00007465247,0.0004506586,0.0001040117,0.0003225026],"category_scores_gemma":[0.00002617623,0.0003789174,0.0001014703,0.0006428015,0.0001235174,0.000230665,0.0003538093,0.0001721209,0.0007031481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002266217,"about_ca_system_score_gemma":0.0005308412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002957311,"about_ca_topic_score_gemma":0.006678765,"domain_scores_codex":[0.9958794,0.0002828835,0.001194432,0.001107765,0.0004395161,0.001096074],"domain_scores_gemma":[0.997278,0.00004964751,0.0004179591,0.0009911504,0.0001193901,0.001143847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002183504,0.001971785,0.0003850011,0.0004458711,0.00006234066,0.000001218198,0.01582863,0.000002187154,0.00005791864,0.0008036099,0.6807832,0.2974748],"study_design_scores_gemma":[0.006906652,0.05822593,0.01308895,0.003280654,0.00001592067,0.000229251,0.01512697,0.0003299904,0.001132607,0.0006799633,0.8998113,0.001171849],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.840901,0.00172551,0.005687323,0.05692057,0.03079471,0.04598989,0.01599789,0.0007164961,0.001266609],"genre_scores_gemma":[0.9720036,0.00001391983,0.00423453,0.01376737,0.0004408889,0.004957662,0.002184873,0.00009040485,0.002306731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2963029,"threshold_uncertainty_score":0.9998662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05474063287323189,"score_gpt":0.4524508730157446,"score_spread":0.3977102401425127,"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."}}