{"id":"W3195365745","doi":"10.1016/j.jaad.2021.06.785","title":"28496 Comprehensive national analysis of geographic distribution of cutaneous melanoma and nonmelanoma skin cancer in Russia","year":2021,"lang":"en","type":"article","venue":"Journal of the American Academy of Dermatology","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Medicine; Skin cancer; Dermatology; Melanoma; Cancer; Internal medicine; Cancer research","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":[0.0005818041,0.00016895,0.0004358708,0.001491076,0.0005108974,0.0003972146,0.0004445876,0.000248214,0.001513615],"category_scores_gemma":[0.001047496,0.0002942659,0.0007826751,0.002374523,0.000167587,0.0002385458,0.0006547906,0.0002383296,0.0004656616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005239647,"about_ca_system_score_gemma":0.001008969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03825086,"about_ca_topic_score_gemma":0.03247936,"domain_scores_codex":[0.9993334,0.0001696467,0.0001116018,0.0001591873,0.0001093879,0.0001167185],"domain_scores_gemma":[0.9989035,0.0001708002,0.0003732232,0.0001941708,0.0002458703,0.0001124636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004411241,0.00001171404,0.9983031,0.00001428428,0.0001156585,0.00004240946,0.00007124105,0.00007634031,0.0002865131,0.00002249501,0.0001922936,0.00081977],"study_design_scores_gemma":[0.000001457137,0.00001129943,0.9993035,0.000003717684,0.00003752387,0.00005444643,0.0001135348,0.00006763146,0.00004410577,0.000005032099,0.0003560187,0.000001776071],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929895,0.0002053783,0.0001648097,0.00002143678,0.000005029521,0.000007458508,0.005851194,0.000007194377,0.0007479842],"genre_scores_gemma":[0.9929219,0.0001166607,0.0001080309,0.00001148463,0.000004205881,0.00001628758,0.006492449,0.000004507159,0.0003244472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03825086,"threshold_uncertainty_score":0.07605642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01183460318847632,"score_gpt":0.2970563765138617,"score_spread":0.2852217733253854,"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."}}