{"id":"W4360774748","doi":"10.2196/40359","title":"Learning in a Virtual Environment to Improve Type 2 Diabetes Outcomes: Randomized Controlled Trial","year":2023,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Diabetes Management and Education","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Institutes of Health; National Heart, Lung, and Blood Institute; Georgia Clinical and Translational Science Alliance","keywords":"Randomized controlled trial; Descriptive statistics; Medicine; Referral; Demographics; Intervention (counseling); Type 2 diabetes; Physical therapy; Diabetes mellitus; Gerontology; Family medicine; Demography; Nursing","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00652097,0.0001368357,0.0009120431,0.001014072,0.0001049498,0.00005776919,0.000117367,0.00006313153,0.0002794476],"category_scores_gemma":[0.002412131,0.00009434787,0.0001716921,0.0008419565,0.00009540424,0.0001653501,0.0001742701,0.0004585878,0.002529698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002153872,"about_ca_system_score_gemma":0.00008633627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007931327,"about_ca_topic_score_gemma":9.556511e-7,"domain_scores_codex":[0.997246,0.0006582753,0.0004837824,0.0002194354,0.000779143,0.0006133176],"domain_scores_gemma":[0.99787,0.00161524,0.00007597542,0.0001979792,0.00009288848,0.0001479334],"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":[0.9527626,0.0006962492,0.003630807,0.0001203496,0.0004005811,0.000006138204,0.01493858,0.0001312732,0.0007823498,0.0004671276,0.007868097,0.01819586],"study_design_scores_gemma":[0.9759344,0.003022766,0.00751391,0.00007811918,0.00003016377,3.678914e-8,0.003800752,0.006064904,0.0001229114,0.0002155783,0.003094363,0.00012211],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.982471,0.00001822345,0.000009595919,0.002918385,0.0003707321,0.00881507,9.933752e-7,0.00007068581,0.00532528],"genre_scores_gemma":[0.9744398,0.00005344201,0.00001634615,0.0001142462,0.0001191745,0.004816353,0.00005068106,0.00001879003,0.02037114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0231718,"threshold_uncertainty_score":0.998247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03549896081037489,"score_gpt":0.38770922671192,"score_spread":0.3522102659015451,"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."}}