{"id":"W3197631839","doi":"10.1111/1468-0009.12522","title":"Population Health Innovations and Payment to Address Social Needs Among Patients and Communities With Diabetes","year":2021,"lang":"en","type":"article","venue":"Milbank Quarterly","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Capital District Health Authority","funders":"National Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Business; Health care; Population; Payment; Public relations; Social determinants of health; Staffing; Population health; Nursing; Medicine; Public health; Environmental health; Economic growth; Finance; Economics; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01423884,0.0003216293,0.0002683787,0.001871355,0.004386466,0.004263282,0.001722261,0.001736242,0.01332797],"category_scores_gemma":[0.04470715,0.0002469796,0.0009960942,0.002219356,0.002008083,0.003185436,0.0107672,0.003418487,0.0005685057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005776042,"about_ca_system_score_gemma":0.03130033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01666552,"about_ca_topic_score_gemma":0.02776135,"domain_scores_codex":[0.9807543,0.01185519,0.0008399766,0.0006667496,0.001965015,0.003918812],"domain_scores_gemma":[0.9784517,0.007485332,0.003257068,0.001462435,0.002371839,0.006971607],"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":[0.0001667223,0.002151858,0.337751,0.0006587041,0.0001989152,0.0003900789,0.01135687,0.001996476,0.0005696774,0.07005985,0.1105443,0.4641556],"study_design_scores_gemma":[0.0006119469,0.001476521,0.4453971,0.00285255,0.0002363746,0.0007224369,0.04858129,0.008679213,0.0008858292,0.09296939,0.397404,0.0001833705],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4737654,0.003444814,0.01188322,0.4165223,0.001828719,0.002085419,0.001763221,0.0002323644,0.0884745],"genre_scores_gemma":[0.9513639,0.002077822,0.01150831,0.02507214,0.0009797998,0.001858492,0.0007597076,0.000040761,0.006339159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01666552,"threshold_uncertainty_score":0.07530308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07350665143524153,"score_gpt":0.3773072592163835,"score_spread":0.303800607781142,"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."}}