{"id":"W4296328936","doi":"10.1177/23800844221116832","title":"Sociodemographic Changes and Oral Health Inequities: Dental Workforce Considerations","year":2022,"lang":"en","type":"article","venue":"JDR Clinical & Translational Research","topic":"Dental Health and Care Utilization","field":"Dentistry","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Workforce; Health care; Medicine; Population; Health equity; Quality of life (healthcare); Cultural competence; Social determinants of health; Nursing; Gerontology; Public health; Psychology; Environmental health; 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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005404405,0.0001213768,0.000290318,0.0002563012,0.001699807,0.0001073927,0.0001597325,0.0001078452,0.002833078],"category_scores_gemma":[0.0005030175,0.0001315204,0.0001040541,0.0007032715,0.0004482586,0.0001360795,0.0001362758,0.001111247,0.00008260501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001022701,"about_ca_system_score_gemma":0.0007458167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002164739,"about_ca_topic_score_gemma":0.00635906,"domain_scores_codex":[0.9951396,0.001564777,0.0007345699,0.0004562703,0.001557849,0.0005469386],"domain_scores_gemma":[0.9963686,0.002704112,0.0001029646,0.0001927609,0.0002621743,0.0003694194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006455015,0.0008850617,0.650396,0.0002656637,0.00009158211,0.00008845261,0.0009826367,0.0001391744,0.00003072885,0.1227706,0.0620909,0.1616137],"study_design_scores_gemma":[0.004121654,0.001688317,0.7973818,0.0000761262,0.00002448744,0.0002341197,0.004425197,0.00585511,0.000007177498,0.05285578,0.1328952,0.0004349991],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9720875,0.005035583,0.0006109726,0.01525647,0.001200447,0.001344604,0.0007440136,0.0001389817,0.003581447],"genre_scores_gemma":[0.9936441,0.0003756982,0.0003789166,0.002915115,0.0002569236,0.0001709385,0.0004428203,0.00002427671,0.001791208],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1611786,"threshold_uncertainty_score":0.9995999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3851105693632167,"score_gpt":0.5543752081188209,"score_spread":0.1692646387556042,"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."}}