{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005273987,0.000242679,0.0001451811,0.003320897,0.0007822455,0.001024346,0.0006939734,0.0002521545,0.001635513],"category_scores_gemma":[0.008291187,0.0002363818,0.0001908505,0.002240906,0.000364264,0.0008862545,0.001396124,0.0002886125,0.0003794229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00105118,"about_ca_system_score_gemma":0.00365615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06953429,"about_ca_topic_score_gemma":0.07707505,"domain_scores_codex":[0.9968559,0.001012441,0.0007477138,0.0003665148,0.0008646591,0.0001528386],"domain_scores_gemma":[0.9923158,0.001227137,0.003023756,0.000580179,0.002440733,0.0004123032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005661356,0.00008094298,0.9613327,0.0002117497,0.00004032233,0.00007570886,0.002486478,0.0003475756,0.0006908668,0.0002011935,0.0008045785,0.03367132],"study_design_scores_gemma":[0.00001039432,0.000183741,0.9841405,0.0003667931,0.0000515493,0.0002329179,0.005609351,0.001115791,0.000945485,0.0001478927,0.007174811,0.00002074668],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9821817,0.0007092049,0.00313368,0.0002947128,0.00003288435,0.0004340378,0.004596332,0.0001432822,0.00847412],"genre_scores_gemma":[0.9786355,0.0007984772,0.01435208,0.0001233729,0.00003108808,0.0004684898,0.003539947,0.0000169491,0.002034182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06953429,"threshold_uncertainty_score":0.1382591,"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."}}