{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007634796,0.0002788279,0.0003427449,0.0009988273,0.002691435,0.001117539,0.0008223613,0.0002717602,0.002548402],"category_scores_gemma":[0.002986038,0.0001915419,0.0006690838,0.002763261,0.0007632515,0.0003036396,0.001150433,0.0005656363,0.0001448231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0452099,"about_ca_system_score_gemma":0.06618392,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9966862,"about_ca_topic_score_gemma":0.9983338,"domain_scores_codex":[0.9991596,0.00008457513,0.00005363407,0.00009886043,0.0002412655,0.0003621293],"domain_scores_gemma":[0.9972376,0.0001685356,0.0006365266,0.00007306172,0.00108049,0.0008038879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001420925,0.00001988087,0.9869034,0.0001270895,0.00009184705,0.000178506,0.0008558221,0.0002771209,0.000104934,0.0001909269,0.004031095,0.007077336],"study_design_scores_gemma":[0.0000166233,0.00002090484,0.9959707,0.0001207713,0.00005363228,0.00006897347,0.0009313771,0.0002556614,0.00003326067,0.00005418262,0.002462767,0.00001102434],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9702978,0.004604503,0.000211065,0.003098805,0.0000883621,0.00009322882,0.01299424,0.00003693858,0.008575129],"genre_scores_gemma":[0.9923494,0.002211923,0.0001905396,0.00026447,0.00001931595,0.00003063086,0.003500114,0.000009598326,0.001424032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0452099,"threshold_uncertainty_score":0.3280223,"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."}}