{"id":"W3115963954","doi":"10.1159/000512454","title":"Non-Melanoma Skin Cancer Distribution in the Russian Federation","year":2020,"lang":"en","type":"article","venue":"Dermatology","topic":"Nonmelanoma Skin Cancer Studies","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; McGill University","funders":"","keywords":"Incidence (geometry); Skin cancer; Demography; Epidemiology; Medicine; Geography; Ethnic group; Cancer; Pathology; Internal medicine; Political science","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":[0.0003550624,0.000130059,0.0001865416,0.001353856,0.0004152684,0.0003611045,0.0002377354,0.0001242756,0.00122314],"category_scores_gemma":[0.0004410694,0.00009877996,0.0003480057,0.0008744281,0.0001991381,0.0001491748,0.0003854489,0.0001341434,0.0001979227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005335621,"about_ca_system_score_gemma":0.0008628265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0349851,"about_ca_topic_score_gemma":0.02404551,"domain_scores_codex":[0.9997603,0.00004474403,0.00002965907,0.00005528893,0.00004333838,0.00006657971],"domain_scores_gemma":[0.9997013,0.00003598722,0.0001287136,0.00001714582,0.0000776317,0.00003923527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004433789,0.00002463223,0.9797919,0.000121517,0.00005524985,0.0002178727,0.0007889312,0.0002308285,0.0008429663,0.0003265751,0.001236831,0.01631826],"study_design_scores_gemma":[0.000001212609,0.00002178042,0.9974406,0.00002573272,0.00001294448,0.0002694687,0.0004671874,0.0001237211,0.00006206889,0.00002661436,0.001545898,0.000002780302],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993149,0.001590287,0.0002486902,0.0001627338,0.00002066234,0.00001703611,0.002027002,0.00002377119,0.002760652],"genre_scores_gemma":[0.9975655,0.0006772869,0.0001566942,0.00002459819,0.000008747323,0.00001100726,0.001185608,0.000004256077,0.0003661498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0349851,"threshold_uncertainty_score":0.06956291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01867857245121632,"score_gpt":0.2886688168451039,"score_spread":0.2699902443938876,"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."}}