{"id":"W4320857936","doi":"10.1158/1055-9965.epi-22-1191","title":"Site-Specific Cancer Incidence by Race and Immigration Status in Canada 2006–2015: A Population-Based Data Linkage Study","year":2023,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Institute of Infection and Immunity; Canadian Institutes of Health Research","keywords":"Demography; Population; Medicine; Cancer registry; Socioeconomic status; Incidence (geometry); Rate ratio; Cancer; Record linkage; Gerontology; Environmental health; Internal medicine","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":[0.004515405,0.0006640811,0.001292181,0.005531127,0.00544366,0.002120569,0.003067252,0.0007210476,0.002509661],"category_scores_gemma":[0.00953619,0.0007855286,0.001489576,0.02111188,0.0009699741,0.0007450989,0.002840787,0.001370433,0.0006342161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05050451,"about_ca_system_score_gemma":0.0948239,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9950836,"about_ca_topic_score_gemma":0.9960586,"domain_scores_codex":[0.9932805,0.0005853679,0.0007031194,0.001381004,0.002740913,0.001309118],"domain_scores_gemma":[0.986805,0.0004685834,0.001789941,0.0006776475,0.009044133,0.001214672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001274773,0.00005645767,0.9672381,0.0003231215,0.0005377509,0.0001127456,0.001109113,0.0003073078,0.0001091471,0.0004162989,0.01972269,0.009939834],"study_design_scores_gemma":[0.00002911761,0.00002371043,0.9856959,0.0002899033,0.0002550823,0.00010876,0.001126005,0.0007229938,0.0001124548,0.00008464811,0.01150921,0.00004217109],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.693074,0.007620528,0.003841732,0.002597632,0.000168607,0.001084972,0.2828334,0.0002722577,0.008506792],"genre_scores_gemma":[0.8893317,0.003589722,0.003954969,0.001359242,0.00006711605,0.0009336346,0.09737976,0.0001055689,0.003278393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05050451,"threshold_uncertainty_score":0.3664376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1204573360964786,"score_gpt":0.4161331791107299,"score_spread":0.2956758430142513,"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."}}