{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004150864,0.0001000379,0.0002359166,0.00002168777,0.00008753263,0.00001366747,0.00007874569,0.00007558208,0.00005887709],"category_scores_gemma":[0.00002855763,0.00007074721,0.00003945079,0.0001864214,0.00006252866,0.00004181588,0.00002849151,0.0001747831,0.00006457145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006551015,"about_ca_system_score_gemma":0.00006603268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001401105,"about_ca_topic_score_gemma":0.0003264689,"domain_scores_codex":[0.9992701,0.00004970905,0.0001931295,0.0001806024,0.0001122442,0.0001942214],"domain_scores_gemma":[0.9997229,0.00004422324,0.0000495576,0.0001252482,0.00001408777,0.00004396056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001933818,0.00007953105,0.9462892,0.0001386263,0.0000689348,0.0006309642,0.004972789,0.000008310203,0.000181763,0.004765417,0.03933594,0.00333508],"study_design_scores_gemma":[0.001295809,0.00008634982,0.9444069,0.00002800495,0.00003929566,0.0004758591,0.0004810391,0.000889791,0.002517693,0.0001246421,0.04954631,0.0001083646],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7793609,0.0007208685,0.0008799631,0.2133844,0.0001817738,0.0004226832,0.00002260064,0.0000277329,0.004999086],"genre_scores_gemma":[0.9928651,0.00008483072,0.00004534927,0.006579826,0.0001928772,0.0001257367,0.00008380678,0.000008280131,0.00001416967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2135042,"threshold_uncertainty_score":0.2884987,"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."}}