{"id":"W4413372348","doi":"10.1177/23814683251353226","title":"Simulation Modeling of Oral Cancer Development with Risk Stratification: How Potential Screening Programs Can Be Evaluated","year":2025,"lang":"en","type":"article","venue":"MDM Policy & Practice","topic":"Oral Health Pathology and Treatment","field":"Dentistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; University of British Columbia","funders":"National Institute of Dental and Craniofacial Research","keywords":"Medicine; Cancer; Life expectancy; Population; Biopsy; Cancer registry; Incidence (geometry); Internal medicine; Risk assessment; Oncology; Environmental health","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":[],"consensus_categories":[],"category_scores_codex":[0.0005959005,0.0001709097,0.0002095248,0.0001378807,0.0003665048,0.00005858966,0.0001038266,0.0001315893,0.00002032923],"category_scores_gemma":[0.0003721871,0.0001493533,0.00003495705,0.0004705414,0.00006352474,0.0003151309,0.0000364706,0.0002561421,0.000005993753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000244498,"about_ca_system_score_gemma":0.001260454,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01173971,"about_ca_topic_score_gemma":0.003739301,"domain_scores_codex":[0.9983022,0.0004110171,0.0003458368,0.000321463,0.0003282345,0.0002912949],"domain_scores_gemma":[0.9985784,0.0001708504,0.0004223475,0.0002751921,0.0004814592,0.00007180439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001504302,0.0006579509,0.02977332,0.0001604409,0.0007019506,0.00006864691,0.001552989,0.7906481,0.00009957943,0.001569243,0.00004367428,0.1732198],"study_design_scores_gemma":[0.003894891,0.0003763539,0.04343979,0.0002745095,0.001360157,0.0000427761,0.001735862,0.942284,0.001502267,0.0004188425,0.004240135,0.0004304135],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8732387,0.0003156046,0.1120728,0.01182466,0.0002040788,0.001120049,0.00004672891,0.0001274625,0.001049894],"genre_scores_gemma":[0.9762856,0.00001970018,0.02244589,0.0003258408,0.00005972931,0.0001278129,0.00009054389,0.00001570397,0.0006292092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1727894,"threshold_uncertainty_score":0.9948412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1003565838099902,"score_gpt":0.4446958089949375,"score_spread":0.3443392251849473,"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."}}