{"id":"W2783949971","doi":"10.1002/cncr.31231","title":"Chinese and South Asian ethnicity, immigration status, and clinical cancer outcomes in the Ontario Cancer System","year":2018,"lang":"en","type":"article","venue":"Cancer","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Work & Health; Health Sciences Centre; Institute for Clinical Evaluative Sciences; Sunnybrook Health Science Centre; Ontario Institute for Cancer Research; University of Toronto","funders":"Ontario Ministry of Health and Long-Term Care","keywords":"Medicine; Demography; Immigration; Hazard ratio; Ethnic group; Confidence interval; Chinese americans; Cohort study; Cancer; Population; Cohort; Proportional hazards model; Gerontology; Internal medicine; Environmental health; Geography","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":[0.0006457246,0.0002117602,0.0002463218,0.0007211094,0.002146726,0.000845564,0.0006368919,0.0002176158,0.001688762],"category_scores_gemma":[0.002084046,0.0001961817,0.0004450387,0.00232882,0.0008132953,0.000268348,0.0009184452,0.0004165523,0.0001074056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01367189,"about_ca_system_score_gemma":0.0210365,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9691338,"about_ca_topic_score_gemma":0.9848508,"domain_scores_codex":[0.9994368,0.00006038107,0.00004090164,0.00008348368,0.0001468932,0.0002315327],"domain_scores_gemma":[0.998264,0.00009979021,0.0005307706,0.00007126763,0.0005556956,0.0004784251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003069967,0.000005973739,0.9977705,0.00001825307,0.00002292461,0.00004339558,0.0003952245,0.00003016871,0.00004003869,0.00003682829,0.0006002779,0.001005743],"study_design_scores_gemma":[0.00000515631,0.000009098811,0.9983932,0.00002353722,0.00002050265,0.00003656209,0.0007847459,0.00008281161,0.0000183049,0.00002058176,0.0006015608,0.000003946417],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940559,0.0006637225,0.00004166328,0.0006517868,0.00001419152,0.00002877192,0.002042348,0.000005919459,0.002495784],"genre_scores_gemma":[0.998194,0.0003826627,0.0000419423,0.0000867398,0.000005789686,0.0000130996,0.0008766829,0.000002258258,0.0003967422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03086621,"threshold_uncertainty_score":0.09919697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08364260928547723,"score_gpt":0.4293467804795182,"score_spread":0.345704171194041,"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."}}