{"id":"W6920869840","doi":"10.6084/m9.figshare.29105629.v1","title":"Additional file 1 of Population-based differences in cancer incidence between immigrants and non-immigrants in Canada between 1992 and 2015","year":2025,"lang":"en","type":"article","venue":"Figshare","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Immigration; Cancer incidence; Incidence (geometry); Cancer; Population","routes":{"ca_aff":true,"ca_fund":false,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00116132,0.00089076,0.001225423,0.005280707,0.001477335,0.001899682,0.001795752,0.0008865061,0.7506734],"category_scores_gemma":[0.02357223,0.0006927731,0.001502843,0.01196527,0.0004313045,0.001305205,0.001198588,0.0008967991,0.07432542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006676994,"about_ca_system_score_gemma":0.01627441,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6669448,"about_ca_topic_score_gemma":0.7496132,"domain_scores_codex":[0.9990298,0.0000904975,0.0001732121,0.0001932898,0.0002357622,0.0002774883],"domain_scores_gemma":[0.9824696,0.008577419,0.00147932,0.0008848268,0.005622119,0.0009667419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002463859,0.00005738268,0.010747,0.001899532,0.00008662677,0.00005891409,0.00007462639,0.0004563162,0.0000207023,0.0004981143,0.9782215,0.007633064],"study_design_scores_gemma":[0.004429184,0.0001805784,0.2648277,0.005793873,0.0004684329,0.0004574128,0.001364609,0.002040836,0.0003018866,0.003700106,0.7162282,0.0002070653],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0002077569,0.0000188378,0.00002587366,0.00004007559,0.00001413741,0.00002953974,0.9989586,0.00004750877,0.0006576502],"genre_scores_gemma":[0.01231409,0.0002208911,0.0009315883,0.0003455133,0.00006725168,0.0007127789,0.9732258,0.0002038213,0.01197821],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7506734,"threshold_uncertainty_score":0.6700332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0543271393100759,"score_gpt":0.3108255506448815,"score_spread":0.2564984113348056,"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."}}