{"id":"W4412441630","doi":"10.2196/52627","title":"The Impact of Digital Inequities on Nasal and Paranasal-Sinus Cancer Disparities in the United States: A Cohort Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Head and Neck Cancer Studies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Socioeconomic status; American Community Survey; Health equity; Cohort; Medicine; Ethnic group; Demography; Environmental health; Census; Geography; Political science; Population; Public health; Pathology; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001005524,0.0002184502,0.000252596,0.0008640758,0.0008548497,0.0007489863,0.0004696476,0.0003538422,0.001408438],"category_scores_gemma":[0.002212111,0.0002726247,0.0006378872,0.001568708,0.0003122807,0.0006889777,0.001139053,0.0008978675,0.000133624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006243869,"about_ca_system_score_gemma":0.001140366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05959912,"about_ca_topic_score_gemma":0.09132095,"domain_scores_codex":[0.9995017,0.0001075354,0.00005918949,0.0001345546,0.00008095399,0.0001160454],"domain_scores_gemma":[0.9988739,0.000113341,0.0004541188,0.0001649063,0.0001551726,0.0002384868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002445464,0.0000379538,0.9987831,0.000005931432,0.0000478575,0.0000180428,0.0001828527,0.00001408622,0.00003053392,0.00003892647,0.0002081237,0.0006081254],"study_design_scores_gemma":[0.000005585488,0.0000447782,0.9984173,0.00002091838,0.00004003149,0.00007410059,0.0008340699,0.0001620823,0.00002136626,0.00003582696,0.000338913,0.000005007109],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978392,0.0001943461,0.00007653265,0.0001223763,0.000007882403,0.000028072,0.001271983,0.000002125335,0.0004576084],"genre_scores_gemma":[0.9991267,0.000114714,0.00006723785,0.00005624671,0.000005208491,0.00002141095,0.0005211306,0.000001298582,0.00008595031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05959912,"threshold_uncertainty_score":0.1185045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02640320090690215,"score_gpt":0.3889134227985184,"score_spread":0.3625102218916163,"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."}}