{"id":"W3006641157","doi":"10.2196/15927","title":"Incorporating Behavioral Trigger Messages Into a Mobile Health App for Chronic Disease Management: Randomized Clinical Feasibility Trial in Diabetes","year":2020,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"mHealth; Facilitator; Randomized controlled trial; Repeated measures design; Self-management; Type 2 diabetes; Psychology; Applied psychology; Medicine; Health care; Psychological intervention; Clinical psychology; Diabetes mellitus; Computer science; Nursing; Social psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004302997,0.001629784,0.002502752,0.0007911635,0.000859717,0.001625721,0.001153761,0.0030055,0.01038634],"category_scores_gemma":[0.00561034,0.0009783701,0.001800123,0.0007303362,0.001402851,0.001669948,0.0009932384,0.002560225,0.001048792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008704591,"about_ca_system_score_gemma":0.002348097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001294409,"about_ca_topic_score_gemma":0.002478736,"domain_scores_codex":[0.9980814,0.001022474,0.0002080648,0.0002352719,0.0001715189,0.0002811572],"domain_scores_gemma":[0.997768,0.0009256635,0.0004462503,0.000158298,0.0001912491,0.0005105023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.913339,0.06060487,0.0009653256,0.001584385,0.0007488707,0.00007551668,0.0001856756,0.0001789454,0.001679644,0.0001431699,0.0006162325,0.01987833],"study_design_scores_gemma":[0.8710218,0.1262638,0.001470814,0.0000736369,0.0003215258,0.00001074512,0.00005046724,0.00016042,0.00019332,0.0001078919,0.000313308,0.00001215807],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9210568,0.001920776,0.001393593,0.0009961163,0.000907402,0.07064118,0.0008969284,0.0001954777,0.001991696],"genre_scores_gemma":[0.8634555,0.002434063,0.007729386,0.001248291,0.0007428519,0.1203722,0.0005248694,0.00002798037,0.003464964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01038634,"threshold_uncertainty_score":0.03474581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1536008334625316,"score_gpt":0.5338125709449124,"score_spread":0.3802117374823809,"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."}}