{"id":"W3212210403","doi":"10.2196/23243","title":"A 12-Month Follow-Up of the Effects of a Digital Diabetes Prevention Program (VP Transform for Prediabetes) on Weight and Physical Activity Among Adults With Prediabetes: Secondary Analysis","year":2021,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Prediabetes; Medicine; Type 2 diabetes; Diabetes mellitus; Weight loss; Physical therapy; Overweight; Internal medicine; Gerontology; Endocrinology; Obesity","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003304632,0.0003752387,0.001055719,0.0001903022,0.0004843478,0.00002260395,0.000241386,0.0002788085,0.00001765029],"category_scores_gemma":[0.0003316882,0.0002620187,0.0004621176,0.0008756191,0.0002946737,0.000338149,0.00008999661,0.0005655935,0.000001547564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008572052,"about_ca_system_score_gemma":0.0006061425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001075182,"about_ca_topic_score_gemma":0.0002672459,"domain_scores_codex":[0.9968832,0.0003328428,0.0006794003,0.0006992056,0.0004335523,0.000971843],"domain_scores_gemma":[0.9951704,0.002620686,0.0007391985,0.0007486259,0.0003701655,0.000350959],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003452553,0.0021753,0.7606813,0.0170901,0.0008594782,2.096772e-7,0.002195286,0.000004312407,0.0008813636,0.0001384855,0.0004707749,0.2151582],"study_design_scores_gemma":[0.008874438,0.004681191,0.9341577,0.003180347,0.001648096,5.874649e-8,0.000413401,0.003540303,0.03991342,0.001270969,0.001879894,0.000440196],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9833902,0.0002844681,0.00003367198,0.0003484252,0.0001892789,0.01450955,0.0006560364,0.0001074022,0.0004810281],"genre_scores_gemma":[0.9560921,0.00004349893,0.000157837,0.00008723389,0.0001480452,0.0428098,0.0002296227,0.00005246945,0.0003793798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.214718,"threshold_uncertainty_score":0.9999832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009415183231279363,"score_gpt":0.3237866347851822,"score_spread":0.3143714515539028,"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."}}