{"id":"W4282933411","doi":"10.1159/000524949","title":"Analysis of Geographic and Environmental Factors and Their Association with Cutaneous Melanoma Incidence in Canada","year":2022,"lang":"en","type":"article","venue":"Dermatology","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Université Laval; McGill University; University of Calgary; University of Toronto; University of Ottawa; University of British Columbia","funders":"Canadian Institutes of Health Research; Cancer Research Society; McGill University","keywords":"Incidence (geometry); Snow; Geography; Precipitation; Demography; Physical geography; Environmental science; Meteorology; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003325665,0.00006626464,0.0002614858,0.0002562698,0.00004495058,0.000002067342,0.00002367546,0.00001931257,0.00008250632],"category_scores_gemma":[0.000007539541,0.00005374613,0.00001857859,0.0002064473,0.00002501242,0.00001098818,0.00004861586,0.00009049278,5.845767e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002362591,"about_ca_system_score_gemma":0.00004652782,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2093348,"about_ca_topic_score_gemma":0.6293823,"domain_scores_codex":[0.9994707,0.00005254213,0.0001303911,0.0001266993,0.0001185605,0.0001011148],"domain_scores_gemma":[0.9997197,0.00007667344,0.0000871345,0.00007608443,0.000004078291,0.00003633013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004410746,0.0000191844,0.9982989,0.000008960224,0.0003263639,0.00027605,0.0002976153,0.00005534248,0.0003492839,0.000007126952,0.00001223196,0.0003048377],"study_design_scores_gemma":[0.0003697064,0.0001077892,0.9874969,0.000002188015,0.0002939144,0.002137029,0.004397132,0.003565209,0.0004754481,0.00000499307,0.001081995,0.00006767106],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993855,0.0001239416,0.000007488746,0.0002423606,0.00002525512,0.0001117769,0.00002631989,0.000005190591,0.0000721861],"genre_scores_gemma":[0.9996852,0.000047797,0.000005483387,0.0001777008,0.000001170003,0.000008650199,0.0000419915,0.000003854358,0.0000281328],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4200475,"threshold_uncertainty_score":0.7959303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003548427763623204,"score_gpt":0.1743107618785315,"score_spread":0.1707623341149083,"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."}}