{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003200693,0.000103464,0.0001476193,0.0009029606,0.0002925282,0.0002970369,0.0001667545,0.00009001382,0.0008502327],"category_scores_gemma":[0.0005206473,0.00006939268,0.0002647664,0.0008038012,0.0002075803,0.0001188317,0.0002832988,0.0001108578,0.0001014479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004151406,"about_ca_system_score_gemma":0.0004290498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02925293,"about_ca_topic_score_gemma":0.02291099,"domain_scores_codex":[0.9997903,0.0000482832,0.0000268426,0.00005402847,0.00003107744,0.00004952956],"domain_scores_gemma":[0.9996964,0.0000371274,0.0001639651,0.00001846844,0.00005583501,0.00002821881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003214295,0.00001087298,0.988241,0.00006081109,0.00004857201,0.0001624837,0.0008223658,0.0002349359,0.0008019119,0.0001955254,0.0003420147,0.009047341],"study_design_scores_gemma":[6.41614e-7,0.00001040817,0.9986546,0.00001621914,0.000009808729,0.0001658424,0.0004441875,0.00007389941,0.00003705134,0.00001865324,0.0005668937,0.000001816664],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997492,0.0008101175,0.0001364336,0.00007421953,0.000007521951,0.000005484525,0.0004521365,0.000006657328,0.001015491],"genre_scores_gemma":[0.999267,0.0003053738,0.00007673037,0.000007146572,0.000003880339,0.000003916281,0.0002490877,0.000001228476,0.00008556015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02925293,"threshold_uncertainty_score":0.05816537,"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."}}