{"id":"W4200299471","doi":"10.2196/33568","title":"Optimizing a Just-in-Time Adaptive Intervention to Improve Dietary Adherence in Behavioral Obesity Treatment: Protocol for a Microrandomized Trial","year":2021,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute","keywords":"Psychological intervention; Overweight; Medicine; Intervention (counseling); Randomized controlled trial; Weight loss; Behavior change; Protocol (science); Obesity; Disease; Physical therapy; Gerontology; Alternative medicine; Psychiatry; Surgery; Internal medicine","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002320507,0.0003108032,0.0006874398,0.000542487,0.0001440904,0.0002228406,0.000483776,0.0002273928,0.0009905132],"category_scores_gemma":[0.0002062094,0.0002985469,0.0004484496,0.0008750521,0.0001111866,0.0003554557,0.0003352189,0.0005373798,0.0004314101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001194034,"about_ca_system_score_gemma":0.0003304801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007366529,"about_ca_topic_score_gemma":0.001214504,"domain_scores_codex":[0.9942508,0.001825672,0.001225304,0.001016339,0.0004948514,0.001187051],"domain_scores_gemma":[0.9980595,0.0004608528,0.0001979184,0.0006318071,0.0003399625,0.0003099753],"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":[0.8107073,0.06082675,0.000460912,0.0009616555,0.00007306214,0.0003766981,0.002902091,0.000002769875,0.002849104,0.000302246,0.002080373,0.118457],"study_design_scores_gemma":[0.8520749,0.100478,0.001590784,0.01185405,0.00001139469,0.00001554626,0.001632207,0.0001380262,0.01596614,0.00198365,0.0135851,0.0006701921],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.02513081,0.000002447679,0.00009229712,0.0001852219,0.00005162521,0.9732367,0.0001673422,0.00005545055,0.001078073],"genre_scores_gemma":[0.006465066,2.463366e-8,0.002194325,0.00002399097,0.0001060601,0.9846795,0.00003872794,0.00005231234,0.006440032],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.1177868,"threshold_uncertainty_score":0.9999467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4149947971210486,"score_gpt":0.6291034057070242,"score_spread":0.2141086085859755,"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."}}