{"id":"W2990838665","doi":"10.2196/13273","title":"Effect of mHealth With Offline Antiobesity Treatment in a Community-Based Weight Management Program: Cross-Sectional Study","year":2019,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Overweight; Medicine; Body mass index; Waist; Weight loss; Psychological intervention; Obesity; Physical therapy; Weight management; Internal medicine; Demography","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":[0.003478618,0.0004852897,0.0006651439,0.0009043058,0.001089353,0.0009964074,0.0005293523,0.001239215,0.001854072],"category_scores_gemma":[0.004962231,0.0008450976,0.001319742,0.000856233,0.0004852587,0.001014239,0.0007923353,0.001156915,0.0004321754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005822781,"about_ca_system_score_gemma":0.00112068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005144831,"about_ca_topic_score_gemma":0.006124714,"domain_scores_codex":[0.9975782,0.001069825,0.0002420491,0.0003665212,0.0004649287,0.0002785368],"domain_scores_gemma":[0.9966371,0.0009518932,0.0008928783,0.0002275245,0.0004282243,0.0008624816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005504512,0.03856186,0.9380654,0.0002798396,0.001063349,0.0001514143,0.001939106,0.00006039059,0.0009640839,0.0000307221,0.0002061618,0.01317328],"study_design_scores_gemma":[0.00060911,0.01873395,0.978231,0.0000545198,0.0004468272,0.0001031594,0.001133979,0.0002063409,0.0001663355,0.00001580331,0.0002842231,0.00001479353],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993444,0.0001754605,0.0000508159,0.00001848095,0.000009086164,0.0001466122,0.0000531973,0.000003264661,0.0001986961],"genre_scores_gemma":[0.9985946,0.0002189279,0.0003062318,0.0001182476,0.00002297645,0.0003213753,0.0001240497,0.000003083773,0.0002904317],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005144831,"threshold_uncertainty_score":0.01839691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05646894426631991,"score_gpt":0.484853294573949,"score_spread":0.4283843503076291,"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."}}