{"id":"W4399385760","doi":"10.1007/s44197-024-00250-4","title":"Analysis of Prevalence, Socioeconomic and Disease Trends of Non-Melanoma Skin Cancer in New Zealand from 2008 to 2022","year":2024,"lang":"en","type":"article","venue":"Journal of Epidemiology and Global Health","topic":"Nonmelanoma Skin Cancer Studies","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"SKiN Health","funders":"Auckland University of Technology, New Zealand","keywords":"Medicine; Skin cancer; Socioeconomic status; Demographics; Demography; Disease; Cancer; Population; Melanoma; Ethnic group; Internal medicine; Environmental health","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":[0.000652651,0.0002386543,0.0002283055,0.001340033,0.000288904,0.0004590822,0.0004995879,0.0001920698,0.001353899],"category_scores_gemma":[0.001457909,0.0002164625,0.0005882361,0.001652667,0.0002467722,0.0004088181,0.0005058749,0.0003534408,0.0002786083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001997577,"about_ca_system_score_gemma":0.001483776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4372761,"about_ca_topic_score_gemma":0.3749847,"domain_scores_codex":[0.9995789,0.0000419981,0.00005677136,0.00009022393,0.0001571138,0.00007501579],"domain_scores_gemma":[0.9987683,0.00005230763,0.0005627635,0.00003749261,0.0004098113,0.0001692703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005437526,0.00001713397,0.996181,0.00005242265,0.00004403451,0.00009700152,0.0002358154,0.00005595096,0.0003830644,0.0000112227,0.0002532475,0.002614726],"study_design_scores_gemma":[0.000001343673,0.00001981169,0.9995516,0.00000551371,0.000006394874,0.00005039898,0.000160054,0.00004864377,0.00001859743,0.000001670557,0.0001346175,0.000001315024],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950551,0.0003512417,0.000106744,0.0001079981,0.000004751231,0.00004454657,0.003474643,0.000007262056,0.0008477663],"genre_scores_gemma":[0.996418,0.0003557246,0.0002032861,0.00002327469,0.000004422705,0.0000522301,0.002537613,0.000002740422,0.0004028041],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4372761,"threshold_uncertainty_score":0.8694617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02071868927243179,"score_gpt":0.3971532360643799,"score_spread":0.376434546791948,"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."}}