{"id":"W3182740326","doi":"10.2196/18741","title":"Assessing the Contribution of Self-Monitoring Through a Commercial Weight Loss App: Mediation and Predictive Modeling Study","year":2021,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; U.S. Air Force; U.S. Department of Defense","keywords":"Weight loss; Mediation; Psychological intervention; Self-monitoring; Psychology; Intervention (counseling); Randomized controlled trial; Behavior change; Medicine; Clinical psychology; Physical therapy; Obesity; Social psychology; Psychiatry","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":[0.02114662,0.001164805,0.0009234247,0.0009096703,0.0007444595,0.00137915,0.002134154,0.001021104,0.005299597],"category_scores_gemma":[0.05919065,0.0007541141,0.002452699,0.0008347375,0.0006064808,0.001631477,0.001513625,0.002423632,0.0005829106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008187325,"about_ca_system_score_gemma":0.002465282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01051764,"about_ca_topic_score_gemma":0.005338131,"domain_scores_codex":[0.9907545,0.007256309,0.0002252229,0.0007915727,0.0005438931,0.0004284075],"domain_scores_gemma":[0.9330815,0.05791085,0.003269028,0.003225363,0.001806149,0.000707162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005732464,0.01203774,0.913328,0.0003903719,0.004713519,0.0002430241,0.003807398,0.003547216,0.0007675081,0.00168518,0.001060797,0.05268675],"study_design_scores_gemma":[0.002452535,0.02126455,0.6590452,0.0005537131,0.01495788,0.0006298138,0.004905033,0.2823516,0.003570446,0.005691796,0.004437081,0.0001404203],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931169,0.0002722158,0.004670989,0.0002597997,0.00003251995,0.0003986601,0.0002819139,0.00006744629,0.0008994696],"genre_scores_gemma":[0.9932669,0.0001884041,0.00484271,0.00009896671,0.00002706908,0.0006380263,0.0002258547,0.00002028997,0.0006917521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02114662,"threshold_uncertainty_score":0.1118354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08672984966745616,"score_gpt":0.4897087256000015,"score_spread":0.4029788759325453,"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."}}