{"id":"W4388479567","doi":"10.1016/j.envint.2023.108226","title":"Global, regional and national burdens of non-melanoma skin cancer attributable to occupational exposure to solar ultraviolet radiation for 183 countries, 2000–2019: A systematic analysis from the WHO/ILO Joint Estimates of the Work-related Burden of Disease and Injury","year":2023,"lang":"en","type":"article","venue":"Environment International","topic":"Skin Protection and Aging","field":"Medicine","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Centers for Disease Control and Prevention; World Health Organization; International Labour Organisation; Agencia Española de Cooperación Internacional para el Desarrollo; National Institute for Occupational Safety and Health; Bundesministerium für Gesundheit","keywords":"Skin cancer; Medicine; Environmental health; Attributable risk; Population; Demography; Geography; Cancer","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":[0.0003485404,0.0001182799,0.0002918581,0.0001468895,0.00007661273,0.00001693571,0.0001166135,0.00004714871,0.0001842886],"category_scores_gemma":[0.0002640097,0.00008307056,0.0001081189,0.0003583383,0.00008439045,0.00005183039,0.00007474278,0.0000541632,0.0000040257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002000221,"about_ca_system_score_gemma":0.000110783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003535858,"about_ca_topic_score_gemma":0.000009629517,"domain_scores_codex":[0.9984935,0.00004094264,0.0004685562,0.000220601,0.0006719565,0.0001044778],"domain_scores_gemma":[0.9990854,0.0002742457,0.0002849329,0.0001535235,0.0001225392,0.00007935203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001050757,0.0001566303,0.8974739,0.0005327557,0.002916716,0.000001289745,0.002079977,0.08007917,0.003902116,0.00049766,0.01032081,0.0009882215],"study_design_scores_gemma":[0.0007706506,0.00007503618,0.9810123,0.001160611,0.0005456913,0.000001602348,0.0001444157,0.01473542,0.0007680477,0.0002295459,0.0004659547,0.00009073438],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851934,0.0004339301,0.004723433,0.00535103,0.0001316192,0.001128518,0.003018976,0.000009227864,0.000009865194],"genre_scores_gemma":[0.9982264,0.0001120466,0.0004401958,0.0002451504,0.00008895305,0.0001910448,0.0004237004,0.000008667451,0.0002638629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08353839,"threshold_uncertainty_score":0.3387519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0122648036774418,"score_gpt":0.2682927959047181,"score_spread":0.2560279922272763,"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."}}