{"id":"W4396836044","doi":"10.1245/s10434-024-15376-9","title":"ASO Visual Abstract: Immigration Status and Breast Cancer Surgery Quality of Care Metrics: A Population-Level Analysis","year":2024,"lang":"en","type":"article","venue":"Annals of Surgical Oncology","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Surgical oncology; Medicine; Breast cancer; Immigration; General surgery; Quality (philosophy); Cancer; Oncology; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.002350663,0.0004974424,0.0005185647,0.003039803,0.0004633991,0.001992247,0.0008460762,0.0007412477,0.194769],"category_scores_gemma":[0.02133786,0.0002562203,0.001175336,0.004076221,0.0002334357,0.001166173,0.001273698,0.0009967501,0.01716835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001023403,"about_ca_system_score_gemma":0.002621143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0223743,"about_ca_topic_score_gemma":0.05020106,"domain_scores_codex":[0.9985883,0.0002863731,0.0001074559,0.0001187988,0.0007319038,0.0001672051],"domain_scores_gemma":[0.9864923,0.005061091,0.001914777,0.000470647,0.004694768,0.001366334],"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":[0.000412238,0.0001023153,0.03021729,0.0006352129,0.0001262737,0.00003402469,0.00007641376,0.0003105247,0.00009880032,0.0003574796,0.9483828,0.01924667],"study_design_scores_gemma":[0.001139959,0.0005514948,0.7204524,0.001953051,0.0003303406,0.0001685821,0.001497374,0.002194018,0.0004884222,0.001990608,0.2690985,0.0001351922],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.06074419,0.001255335,0.001493934,0.02658501,0.004942321,0.0008197513,0.841765,0.001070488,0.06132386],"genre_scores_gemma":[0.5100601,0.002855065,0.004942365,0.0102665,0.009477213,0.001892913,0.313383,0.001705341,0.1454175],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.194769,"threshold_uncertainty_score":0.6515673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1885950218819657,"score_gpt":0.5628296779598302,"score_spread":0.3742346560778644,"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."}}