{"id":"W2051434679","doi":"10.1503/cmaj.120775","title":"Ethnic disparities in influenza vaccination in Canada","year":2012,"lang":"en","type":"letter","venue":"Canadian Medical Association Journal","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ethnic group; Vaccination; Medicine; Family medicine; 2019-20 coronavirus outbreak; Virology; Political science; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009479875,0.0001287011,0.0003967987,0.00119743,0.00345342,0.00103535,0.0005466119,0.001556322,0.005336028],"category_scores_gemma":[0.003837054,0.0001239546,0.0002871918,0.00219902,0.0007060509,0.0004085678,0.0005483979,0.001464711,0.0005324137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01767686,"about_ca_system_score_gemma":0.02472461,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9618291,"about_ca_topic_score_gemma":0.9835622,"domain_scores_codex":[0.9987846,0.0001279574,0.00008164818,0.0001088418,0.0004872147,0.0004096668],"domain_scores_gemma":[0.9977667,0.0002707272,0.0002157008,0.0000430895,0.001028927,0.0006748236],"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":[0.0003518309,0.0001561478,0.3684047,0.0003234255,0.000134473,0.0009048851,0.00143727,0.0001840185,0.000387714,0.002324843,0.5250068,0.1003839],"study_design_scores_gemma":[0.0001472591,0.00009446474,0.8548541,0.001156706,0.0002109262,0.0008354934,0.004232314,0.0005836626,0.0002465883,0.002188749,0.1353691,0.00008061303],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.1655657,0.042887,0.000155447,0.7208113,0.004471397,0.00006472392,0.004733854,0.00005809217,0.06125252],"genre_scores_gemma":[0.8022602,0.02791734,0.0003841161,0.1516228,0.004877801,0.00005103586,0.001481345,0.00003776879,0.01136759],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03817087,"threshold_uncertainty_score":0.1282552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05008470036373585,"score_gpt":0.3358322672723933,"score_spread":0.2857475669086575,"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."}}