{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004288735,0.0001879875,0.0002513524,0.0005186356,0.0008351221,0.000997531,0.001003996,0.000589032,0.01249356],"category_scores_gemma":[0.01416123,0.0001584513,0.0004571814,0.0006477161,0.00023211,0.0008454967,0.002589674,0.001301366,0.001069234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001872748,"about_ca_system_score_gemma":0.004278134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02998346,"about_ca_topic_score_gemma":0.03648073,"domain_scores_codex":[0.9956303,0.001914218,0.000175397,0.0003248195,0.0007547872,0.001200518],"domain_scores_gemma":[0.9914329,0.002140985,0.001726543,0.0004043955,0.0009224514,0.003372801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003031072,0.004075193,0.8613687,0.0001553595,0.0001068569,0.0001959579,0.0006437635,0.001033128,0.0004587715,0.0006404913,0.02978576,0.09850504],"study_design_scores_gemma":[0.000148355,0.0009205887,0.9943573,0.00005550626,0.00002036062,0.00004471275,0.0007839737,0.0006243615,0.0002365575,0.00008925259,0.002707868,0.00001119391],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9624791,0.0001773805,0.0004718653,0.004813726,0.00013458,0.0005838651,0.00784085,0.0001259956,0.02337259],"genre_scores_gemma":[0.9899577,0.00008716837,0.0006538012,0.001001256,0.00008269551,0.0004877587,0.004187595,0.00003224089,0.003509691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02998346,"threshold_uncertainty_score":0.05961788,"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."}}