{"id":"W2995609190","doi":"10.2196/15189","title":"Effectiveness of a Digital Lifestyle Change Program in Obese and Type 2 Diabetes Populations: Service Evaluation of Real-World Data","year":2019,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Weight management; Weight loss; Medicine; Gerontology; Weight change; Obesity; Service (business); Family 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01749271,0.0009917925,0.001350709,0.001550792,0.00100655,0.001247162,0.001170421,0.00108687,0.003012378],"category_scores_gemma":[0.0293589,0.0003763145,0.002028795,0.001881005,0.0008613987,0.001568016,0.002001229,0.001071757,0.0003123477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003623763,"about_ca_system_score_gemma":0.00502405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01400102,"about_ca_topic_score_gemma":0.01296237,"domain_scores_codex":[0.9854965,0.01040934,0.001095839,0.0007592587,0.001470994,0.0007681302],"domain_scores_gemma":[0.9808481,0.008873184,0.003500661,0.001204429,0.002760699,0.002812946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.2194748,0.1699451,0.236037,0.004809418,0.00375803,0.0003765892,0.005693026,0.006056716,0.001356944,0.0003915072,0.004079188,0.3480217],"study_design_scores_gemma":[0.07852575,0.3884435,0.5007001,0.0008881918,0.002895266,0.0002589207,0.005210256,0.01555364,0.002010883,0.0004587837,0.004861989,0.0001926875],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993953,0.0002477801,0.0002828389,0.000196061,0.00003364814,0.003351005,0.000846133,0.00003815387,0.001051399],"genre_scores_gemma":[0.9889116,0.0003736585,0.002189498,0.000169293,0.00005919003,0.006614038,0.001287538,0.00001359349,0.0003814472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01749271,"threshold_uncertainty_score":0.09251142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1675329219284113,"score_gpt":0.4924601349900102,"score_spread":0.3249272130615989,"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."}}