{"id":"W4410023308","doi":"10.2196/67902","title":"Examining Demographic, Geographic, and Temporal Patterns of Melanoma Incidence in Texas From 2000 to 2018: Retrospective Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Demography; Incidence (geometry); Ethnic group; Cancer registry; Population; Medicine; Cluster (spacecraft); Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001454626,0.0001455273,0.0003569906,0.0005975905,0.00003373117,0.00001633316,0.00008127649,0.00006081503,0.0002218416],"category_scores_gemma":[0.00002337985,0.0001362606,0.00003943617,0.0006293625,0.00003544203,0.00004408296,0.0001119679,0.0001707608,0.000003221716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001595687,"about_ca_system_score_gemma":0.00006111785,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01557985,"about_ca_topic_score_gemma":0.02195922,"domain_scores_codex":[0.9988585,0.00004357711,0.0002984391,0.0003980463,0.0002221296,0.0001793362],"domain_scores_gemma":[0.999468,0.00003316101,0.00007870951,0.0002790749,0.00005925081,0.00008175421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002798589,0.0001869329,0.9914264,0.0000397014,0.0001259602,0.00008633962,0.001004382,0.000002596008,0.0005141937,0.00001433737,0.0003579672,0.005961305],"study_design_scores_gemma":[0.001356268,0.0006010634,0.9939671,0.0003187013,0.00007078127,0.000003514151,0.001680159,0.00002700272,0.0001894101,0.00005794701,0.001613782,0.0001142801],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967105,0.0004390252,0.00007030986,0.000387569,0.0002223367,0.001293901,0.00002533495,0.00003687926,0.0008141687],"genre_scores_gemma":[0.99799,0.0001055398,0.00007631622,0.0004466669,0.0000531164,0.0002184839,0.000003359381,0.00001207823,0.001094496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006379365,"threshold_uncertainty_score":0.9958875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01535956768183509,"score_gpt":0.2902619150919223,"score_spread":0.2749023474100872,"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."}}