{"id":"W4381378493","doi":"10.2337/db23-546-p","title":"546-P: Impact of the COVID-19 Public Health Emergency on Enrollment and Outcomes in the National Diabetes Prevention Program","year":2023,"lang":"en","type":"article","venue":"Diabetes","topic":"Health and Wellbeing Research","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Medicine; Diabetes mellitus; Public health; Coronavirus disease 2019 (COVID-19); Intervention (counseling); Type 2 diabetes; Weight loss; Gerontology; Family medicine; Physical therapy; Obesity; Disease; Nursing; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007043716,0.0001291962,0.0002566936,0.0002519912,0.0007374677,0.00001475464,0.0002910224,0.00009119517,0.0001608095],"category_scores_gemma":[0.003537901,0.00006659424,0.0001166495,0.0009200622,0.00007349285,0.00007593438,0.0001159098,0.0004830174,0.00005053623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003301852,"about_ca_system_score_gemma":0.001619929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002446775,"about_ca_topic_score_gemma":0.0001272467,"domain_scores_codex":[0.9955812,0.002029102,0.0005641119,0.0002241912,0.0006876938,0.000913696],"domain_scores_gemma":[0.9972861,0.001880177,0.000221202,0.0002354262,0.0001040787,0.0002730514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000004186075,0.0002073166,0.9710412,0.0004714406,0.00002496262,7.596033e-8,0.002277564,0.0000128222,0.00002401233,0.0005322483,0.01946678,0.00593736],"study_design_scores_gemma":[0.0005295456,0.0003966537,0.988445,0.00006666777,0.000002011579,2.186566e-8,0.0004096612,0.0003538252,0.000005616605,0.003480448,0.006249034,0.00006148937],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9310331,0.0001380328,4.929543e-7,0.06582449,0.0001777668,0.00223732,0.00006518972,0.00006223301,0.0004613189],"genre_scores_gemma":[0.9942433,0.0001344438,0.000009709084,0.003991496,0.00007224035,0.001070507,0.00005161516,0.0000137411,0.0004129255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06321016,"threshold_uncertainty_score":0.5672079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1902663987131182,"score_gpt":0.5491695887246242,"score_spread":0.3589031900115061,"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."}}