{"id":"W4399128155","doi":"10.1016/j.ejcskn.2024.100072","title":"ANALYSIS OF GLOBAL Skin-Cancer Epidemiology and Correlation with Dermatologist Density and Population Risk Factors","year":2024,"lang":"en","type":"article","venue":"EJC Skin Cancer","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Future Earth","funders":"","keywords":"Epidemiology; Skin cancer; Dermatology; Medicine; Correlation; Demography; Cancer; Internal medicine; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.0005748632,0.0001816438,0.000257241,0.001132889,0.0002260103,0.0004700304,0.0001946909,0.0002353141,0.008013328],"category_scores_gemma":[0.002086239,0.0001394248,0.0006639998,0.001134508,0.0002249923,0.0002738783,0.0004001948,0.0004710715,0.0004988679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000213073,"about_ca_system_score_gemma":0.0004344016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005237279,"about_ca_topic_score_gemma":0.003999115,"domain_scores_codex":[0.9995802,0.0001359864,0.00004038838,0.0001025709,0.00006568096,0.00007515086],"domain_scores_gemma":[0.998283,0.0005636147,0.0004107697,0.0001746163,0.00019847,0.0003695026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003820122,0.00001037934,0.9982769,0.000007820928,0.00007134226,0.0000395808,0.0000189954,0.00007300053,0.00009862514,0.00003958861,0.0001009724,0.001224571],"study_design_scores_gemma":[0.000001552386,0.00004289558,0.9988238,0.000005337582,0.00003938475,0.0002776352,0.0001073899,0.000334272,0.00004536132,0.00004665908,0.000273175,0.000002476843],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993154,0.001086319,0.0009096009,0.0002285593,0.00002471967,0.00001727773,0.001254209,0.00004882089,0.003276528],"genre_scores_gemma":[0.9988942,0.0001281735,0.0001581554,0.0000142405,0.00001347856,0.00000686066,0.0002801513,0.000005638836,0.0004991975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008013328,"threshold_uncertainty_score":0.02680731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01726049559795837,"score_gpt":0.3143669913361692,"score_spread":0.2971064957382108,"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."}}