{"id":"W2769058481","doi":"10.2188/jea.je20160166","title":"Patterns of Ultraviolet Radiation Exposure and Skin Cancer Risk: the E3N-SunExp Study","year":2017,"lang":"en","type":"article","venue":"Journal of Epidemiology","topic":"Nonmelanoma Skin Cancer Studies","field":"Medicine","cited_by":147,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"Medical Research Council; National Health and Medical Research Council; Mutuelle Générale de l'Education Nationale; Institut Gustave-Roussy; National Cancer Institute; Institut National Du Cancer; Fondation de France; Ligue Contre le Cancer; Institut National de la Santé et de la Recherche Médicale","keywords":"Medicine; Skin cancer; Basal cell carcinoma; Dermatology; Ultraviolet radiation; Basal cell; Risk factor; Melanoma; Oncology; Population; Cancer; Cancer research; Internal medicine; Environmental health","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":[0.001183598,0.0002416967,0.0002349462,0.000434389,0.0004729261,0.0004834745,0.0003547161,0.0004012632,0.001245441],"category_scores_gemma":[0.001052053,0.0002046321,0.000450526,0.0008947828,0.0002028674,0.0003013561,0.0003696182,0.000293485,0.0002063144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006944616,"about_ca_system_score_gemma":0.0005306825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04432417,"about_ca_topic_score_gemma":0.0680141,"domain_scores_codex":[0.9994998,0.0002067842,0.00003627385,0.0001137348,0.00007002029,0.00007335922],"domain_scores_gemma":[0.9993875,0.0000962011,0.0002159375,0.00009140142,0.00008544211,0.0001234195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001326215,0.00002393047,0.9988029,0.000006380415,0.00006131536,0.00003313544,0.00007442829,0.0000147968,0.0001261766,0.00001624954,0.0001227028,0.0005853049],"study_design_scores_gemma":[0.000013505,0.00005405226,0.9990158,0.000008336439,0.00003407297,0.00009710812,0.0001229931,0.00003662064,0.00005465052,0.00001654986,0.0005442977,0.000002036711],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974152,0.0005560164,0.0001269141,0.00005869621,0.000005395153,0.00001684273,0.001119355,0.000002985072,0.0006985586],"genre_scores_gemma":[0.9984464,0.0001853473,0.0001346087,0.00004117938,0.000005610856,0.0000196644,0.0007690326,0.000002080883,0.0003961082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04432417,"threshold_uncertainty_score":0.08813232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05073569786250373,"score_gpt":0.3866336673691074,"score_spread":0.3358979695066037,"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."}}