{"id":"W3013827966","doi":"10.2196/12655","title":"Patient and Provider Cocreation of Mobile Texting Apps to Support Behavioral Health: Usability Study","year":2020,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Mental Health","keywords":"Usability; mHealth; Digital health; Internet privacy; Mobile technology; Relevance (law); Health care; Medicine; Mobile device; Psychology; World Wide Web; Nursing; Computer science; Psychological intervention; Human–computer interaction","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":[0.0006406824,0.000198699,0.0005037924,0.0001017459,0.0002268334,0.00002608409,0.00008682858,0.00006971431,0.0001183499],"category_scores_gemma":[0.00003219945,0.0001950762,0.00004068249,0.0003570053,0.00008252651,0.0001380113,0.0001124732,0.0002342122,0.00003572748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001604049,"about_ca_system_score_gemma":0.0002996627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002393491,"about_ca_topic_score_gemma":0.0003394748,"domain_scores_codex":[0.99693,0.0003227467,0.001255278,0.0006266333,0.000268612,0.0005967083],"domain_scores_gemma":[0.9978361,0.00007994448,0.0004483641,0.0002734094,0.00009555813,0.001266652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007834868,0.004897294,0.2156712,0.00328876,0.00001710915,0.000006404178,0.07282478,0.000002011796,0.000004215107,0.0005936463,0.003499359,0.6984118],"study_design_scores_gemma":[0.002838278,0.08768988,0.8560112,0.0001980932,0.00005120262,0.0000289001,0.04691699,0.00004476425,0.00001968302,0.0001149473,0.005724718,0.0003614007],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896232,0.0003782432,0.00003883901,0.004253891,0.0002835834,0.0047677,0.000181436,0.00007328277,0.0003998353],"genre_scores_gemma":[0.9959362,0.00000911396,0.0002541202,0.002839857,0.00005982103,0.0007770658,0.00003752702,0.00002566097,0.00006068068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6980503,"threshold_uncertainty_score":0.7954977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1174395039425136,"score_gpt":0.4821224193668687,"score_spread":0.364682915424355,"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."}}