{"id":"W3112465021","doi":"10.1111/jphd.12435","title":"Using electronic dental records to establish a surveillance system for dental decay in rural Western Alaska","year":2020,"lang":"en","type":"article","venue":"Journal of Public Health Dentistry","topic":"Dental Health and Care Utilization","field":"Dentistry","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institutes of Health","keywords":"Census; Medicine; Demography; Population; Oral health; Early childhood caries; Dental decay; Dental care; Electronic health record; Dental health; Environmental health; Dentistry; Health care","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00240622,0.0002823405,0.0007567825,0.0003693454,0.000194145,0.0003771809,0.0005851276,0.0001939094,0.00004523812],"category_scores_gemma":[0.0002933355,0.0003029907,0.0002449943,0.0009839749,0.00003110215,0.0008618447,0.000117139,0.00056423,0.00004827277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002713985,"about_ca_system_score_gemma":0.001952162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002942579,"about_ca_topic_score_gemma":0.007220804,"domain_scores_codex":[0.995143,0.0004586034,0.00186984,0.0003575385,0.0008703928,0.001300631],"domain_scores_gemma":[0.9966594,0.0001364688,0.001116344,0.0002115604,0.0004057932,0.001470447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003435157,0.000173435,0.9826515,0.001627415,0.00004925972,0.0003787926,0.0003666434,0.00006398612,0.0003000012,0.000152172,0.002797997,0.01109523],"study_design_scores_gemma":[0.01015987,0.002328109,0.9173596,0.001505008,0.00004846098,0.01841476,0.02338759,0.002772495,0.0006788743,0.00001740173,0.02231623,0.001011629],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9595384,0.00140079,0.03356867,0.0006275061,0.003939382,0.0006930329,0.0001287091,0.00005125816,0.00005225822],"genre_scores_gemma":[0.9966677,0.00005630018,0.0005126147,0.001549279,0.0009688292,0.00001948165,0.00006007032,0.00006169527,0.0001040676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06529197,"threshold_uncertainty_score":0.9999422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06061292370972808,"score_gpt":0.3630068254669493,"score_spread":0.3023939017572212,"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."}}