{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004380202,0.0002195235,0.00022096,0.001929451,0.001176935,0.0007238208,0.0008156197,0.0001915827,0.00227747],"category_scores_gemma":[0.002183797,0.0001458552,0.0005593523,0.004446156,0.0004019519,0.0001604968,0.0005972155,0.0004928419,0.0001594895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01058858,"about_ca_system_score_gemma":0.01951207,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9827597,"about_ca_topic_score_gemma":0.9885452,"domain_scores_codex":[0.9994063,0.00004315973,0.00004792337,0.0001026615,0.0002393254,0.0001605618],"domain_scores_gemma":[0.997661,0.0001855491,0.0005131687,0.00008050921,0.001068083,0.0004916929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002058751,0.000007035351,0.9971565,0.00001953115,0.00002739671,0.00003853439,0.00008654162,0.0000897774,0.00006555345,0.00004839319,0.0004367562,0.002003477],"study_design_scores_gemma":[0.000001431587,0.000007468053,0.9986041,0.00001689531,0.00001965653,0.00004179739,0.0003738522,0.0002451154,0.00003946673,0.00001973907,0.0006270598,0.000003353789],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864967,0.00109503,0.0002772281,0.0003701875,0.00001573526,0.0000402923,0.008293103,0.00002549303,0.003386191],"genre_scores_gemma":[0.996923,0.0003749156,0.0002217411,0.00003156872,0.00000362015,0.0000120191,0.001879162,0.000005418178,0.0005486206],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01724029,"threshold_uncertainty_score":0.0768258,"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."}}