{"id":"W4294243330","doi":"10.23889/ijpds.v7i3.1944","title":"Experiences of Red River Métis Accessing COVID Vaccines: A partnership-based, whole-population linked administrative data study.","year":2022,"lang":"en","type":"article","venue":"International Journal for Population Data Science","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Manitoba Health","funders":"","keywords":"Medicine; Socioeconomic status; Pandemic; Population; Demography; Environmental health; Confounding; Metis; Cohort; Coronavirus disease 2019 (COVID-19); Disease","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":[],"consensus_categories":[],"category_scores_codex":[0.001551375,0.0003479211,0.0003682863,0.0005534154,0.001741731,0.001188847,0.001115118,0.0005640787,0.001467608],"category_scores_gemma":[0.003102024,0.0006749118,0.000569031,0.001427235,0.0005009637,0.001053068,0.002547141,0.001572586,0.0003618927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002300218,"about_ca_system_score_gemma":0.002873006,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3665527,"about_ca_topic_score_gemma":0.4903575,"domain_scores_codex":[0.9983606,0.0004885655,0.0001171667,0.0002965606,0.0002581331,0.0004790948],"domain_scores_gemma":[0.9978384,0.0001833934,0.0009912583,0.0001730427,0.0002705538,0.0005434082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005169158,0.0001453147,0.9920154,0.00003649744,0.00006648405,0.0001647713,0.004424873,0.00002641226,0.0001259962,0.00005527549,0.000990471,0.001896782],"study_design_scores_gemma":[0.00001037782,0.0001030818,0.9886492,0.0000450871,0.00002770455,0.0002030231,0.009755923,0.0002046691,0.00003874509,0.000020386,0.0009283731,0.00001336722],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973233,0.0001681219,0.00007851361,0.0002258807,0.000006271012,0.00004874951,0.001580424,0.000005086525,0.0005635056],"genre_scores_gemma":[0.9973791,0.0002036433,0.0002319926,0.0002279805,0.000006810149,0.0001197914,0.001213068,0.0000065583,0.0006110963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6334473,"threshold_uncertainty_score":0.7288381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5178526423545106,"score_gpt":0.5892360181518559,"score_spread":0.07138337579734533,"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."}}