{"id":"W3033471571","doi":"10.1159/000507617","title":"Geographic Variations in Cutaneous Melanoma Distribution in the Russian Federation","year":2020,"lang":"en","type":"article","venue":"Dermatology","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; McGill University","funders":"","keywords":"Incidence (geometry); Demography; Medicine; Ethnic group; Epidemiology; Christian ministry; Melanoma; Russian federation; Descriptive statistics; Geography; Internal medicine; Political science; Statistics","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":[0.00005521649,0.00007895225,0.0001569149,0.00009354275,0.00006656237,0.00002277083,0.00005993792,0.00007748351,0.00006548142],"category_scores_gemma":[0.00006025098,0.00006301135,0.00003818697,0.0003598626,0.00002622884,0.00003024588,0.00001690727,0.0001814862,0.00006303797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003601039,"about_ca_system_score_gemma":0.00002309828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008942691,"about_ca_topic_score_gemma":0.0005153891,"domain_scores_codex":[0.9992343,0.000112898,0.000232978,0.000160869,0.0001014152,0.0001575047],"domain_scores_gemma":[0.9997327,0.00005084084,0.00004165154,0.000121422,0.000009372411,0.0000439698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001038348,0.001196566,0.5499131,0.0003655465,0.0001718124,0.02320843,0.01013568,0.0003124501,0.001734166,0.3882322,0.009227532,0.01446416],"study_design_scores_gemma":[0.005367849,0.0007602191,0.6718824,0.00006284982,0.000178753,0.03928193,0.002434384,0.06310446,0.0006988609,0.003611705,0.2121034,0.0005132321],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8253419,0.00008980974,0.007213986,0.1578819,0.0001945771,0.0008752943,0.00001110859,0.0001012501,0.0082902],"genre_scores_gemma":[0.9956882,0.0000236787,0.00005410998,0.00398372,0.00004183178,0.00004283051,0.0001407378,0.000005620007,0.00001925503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3846205,"threshold_uncertainty_score":0.2569528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01328268358524094,"score_gpt":0.2409575845698745,"score_spread":0.2276749009846336,"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."}}