{"id":"W3140074034","doi":"10.2196/24249","title":"Slip Buddy App for Weight Management: Randomized Feasibility Trial of a Dietary Lapse Tracking App","year":2021,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute","keywords":"Weight loss; Randomized controlled trial; Psychological intervention; Overweight; Medicine; mHealth; Physical therapy; Weight management; Gerontology; Body mass index; Obesity; Internal medicine; 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":[0.004656367,0.001878343,0.002292678,0.0009068595,0.001231323,0.001759124,0.001513332,0.002728681,0.01564237],"category_scores_gemma":[0.005878636,0.001398566,0.002062156,0.000622082,0.001853803,0.002539011,0.001359673,0.003605732,0.001623496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001013562,"about_ca_system_score_gemma":0.002866396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002395477,"about_ca_topic_score_gemma":0.003488894,"domain_scores_codex":[0.9974504,0.001206684,0.0002549922,0.0003721901,0.0003214752,0.0003941833],"domain_scores_gemma":[0.9974868,0.0009803402,0.0005181739,0.0002153608,0.0002760525,0.0005231149],"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":[0.8460785,0.1247071,0.0009000399,0.001763362,0.0008220341,0.00008282653,0.0002640448,0.0002456291,0.001620016,0.0001712553,0.000913673,0.02243167],"study_design_scores_gemma":[0.7715763,0.224243,0.002080808,0.0001238994,0.000342103,0.00001946308,0.0001284451,0.0003576126,0.0003346895,0.0001575374,0.0006165235,0.0000196064],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8957285,0.001145347,0.00152477,0.0006912321,0.0009492685,0.09596533,0.0009829563,0.0002691184,0.002743558],"genre_scores_gemma":[0.8236499,0.001626914,0.007054601,0.001214702,0.0007609427,0.1607477,0.0005814285,0.00004771618,0.004316059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01564237,"threshold_uncertainty_score":0.05232894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1056771735872748,"score_gpt":0.4661354412653693,"score_spread":0.3604582676780945,"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."}}