{"id":"W4417506303","doi":"10.1177/00220345251392147","title":"Whose Knowledge Counts? Considering Gender, Sexuality, and Race in Description, Prediction, and Causal Inference in Oral Epidemiology","year":2025,"lang":"en","type":"article","venue":"Advances in Dental Research","topic":"Dental Health and Care Utilization","field":"Dentistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Race (biology); Causal inference; Epidemiology; Inference; Oral health; Causal model; Disease; Inequality; Corporate governance","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1523662,0.0008378158,0.003582297,0.005577066,0.007426802,0.01346759,0.005601738,0.01700211,0.001963884],"category_scores_gemma":[0.3307474,0.0009500445,0.002393601,0.004437315,0.06508806,0.02309761,0.007412299,0.01936546,0.000438226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01072737,"about_ca_system_score_gemma":0.02225339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02159248,"about_ca_topic_score_gemma":0.02679564,"domain_scores_codex":[0.8357458,0.1283543,0.01161983,0.007521112,0.0140035,0.0027556],"domain_scores_gemma":[0.4408732,0.5326443,0.009269625,0.004281696,0.01123803,0.001693278],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001566256,0.0000335687,0.003569575,0.003194923,0.0002889963,0.0007594001,0.04633053,0.0009744963,0.0001581767,0.8122532,0.06745884,0.06482168],"study_design_scores_gemma":[0.00003863747,0.00003593459,0.001471106,0.01099928,0.0001975485,0.0005718715,0.01830161,0.001002728,0.0002606325,0.839985,0.1270142,0.0001214756],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.001560098,0.04255351,0.01259283,0.9327931,0.005538738,0.00002507826,0.00006870012,0.00001405387,0.004853944],"genre_scores_gemma":[0.2684759,0.1131728,0.02388872,0.5217966,0.06922822,0.0004474082,0.0001467733,0.0001081329,0.002735441],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8476338,"threshold_uncertainty_score":0.805799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.158541878319662,"score_gpt":0.5131110324055057,"score_spread":0.3545691540858437,"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."}}