{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007377512,0.0002394509,0.0001778619,0.001648125,0.0006009054,0.0004901404,0.0005153954,0.0001776387,0.001381136],"category_scores_gemma":[0.001754878,0.0002902151,0.0003457583,0.002890821,0.0002680808,0.0004210799,0.0006112025,0.000366559,0.0003160443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001298651,"about_ca_system_score_gemma":0.001338472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05380313,"about_ca_topic_score_gemma":0.06204978,"domain_scores_codex":[0.9995664,0.00006199125,0.0000599018,0.0001488185,0.00007519477,0.00008769204],"domain_scores_gemma":[0.9980887,0.0001630088,0.0009375874,0.0001855953,0.0004353409,0.0001898198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003528368,0.00002065931,0.9974861,0.00002023929,0.00002413359,0.00007778532,0.0002008488,0.00007739618,0.00009388912,0.00002796962,0.0008206579,0.001114989],"study_design_scores_gemma":[0.000003810061,0.00003795263,0.9970527,0.00002244349,0.00004104437,0.0002168859,0.001000936,0.0002958799,0.00008960332,0.00001873093,0.001215186,0.000004872209],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908872,0.0001343593,0.0002638213,0.00007568352,0.000007832251,0.00005371676,0.007789478,0.00001379145,0.0007742032],"genre_scores_gemma":[0.9913375,0.0002293592,0.0004458987,0.00007563434,0.00001663276,0.000140392,0.007346014,0.000009188315,0.0003992857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05380313,"threshold_uncertainty_score":0.1069799,"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."}}