{"id":"W2625418323","doi":"10.1200/jop.2016.019497","title":"Impact of Immigration Status on Cancer Outcomes in Ontario, Canada","year":2017,"lang":"en","type":"article","venue":"Journal of Oncology Practice","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Institute for Clinical Evaluative Sciences; Sunnybrook Health Science Centre; Ontario Institute for Cancer Research","funders":"Ontario Ministry of Health and Long-Term Care; Institute for Clinical Evaluative Sciences; American Society of Clinical Oncology","keywords":"Medicine; Immigration; Demography; Hazard ratio; Cancer; Proportional hazards model; Socioeconomic status; Cohort; Cohort study; Gerontology; Internal medicine; Population; Environmental health","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008287252,0.0001015428,0.0003875337,0.0001286921,0.0001066453,0.00001505647,0.0001886819,0.0001295678,0.001118444],"category_scores_gemma":[0.001009305,0.00007714604,0.00008196564,0.00003916166,0.00003642834,0.0004194703,0.00001101685,0.0006681543,0.000005721298],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002158813,"about_ca_system_score_gemma":0.008387568,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9958449,"about_ca_topic_score_gemma":0.9993635,"domain_scores_codex":[0.9984623,0.0003028804,0.000637943,0.0001053625,0.0002278019,0.0002637276],"domain_scores_gemma":[0.9959868,0.0008522323,0.002412249,0.0002637103,0.0003325235,0.0001525334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002161867,0.000596002,0.9634436,0.000004302651,0.0002364677,0.0002040952,0.005345776,0.00009579036,0.00002491879,0.0002461398,0.01660419,0.01103682],"study_design_scores_gemma":[0.00197132,0.001848847,0.9321079,0.00001478546,0.00005575502,0.0000969087,0.00102759,0.000003020581,0.00000794891,0.00003560003,0.06277362,0.00005674721],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9760468,0.0001508879,0.000007793574,0.006695245,0.001815988,0.0001175128,0.00001187164,0.000001273386,0.01515264],"genre_scores_gemma":[0.9979995,0.0001215368,0.000201908,0.0007358337,0.0000985385,0.000005646783,0.00000148352,0.000007046548,0.0008285356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04616943,"threshold_uncertainty_score":0.9997947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0533225094626123,"score_gpt":0.4665250309333226,"score_spread":0.4132025214707103,"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."}}