{"id":"W2511879058","doi":"10.1503/cmaj.151027","title":"Impact of pharmacist administration of influenza vaccines on uptake in Canada","year":2016,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":102,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Public Health; Institute for Clinical Evaluative Sciences; University of Calgary; University of Waterloo; Public Health Ontario; University of British Columbia; Dalhousie University","funders":"University of Toronto","keywords":"Medicine; Vaccination; Seasonal influenza; Pharmacy; Influenza vaccine; Pharmacist; Immunization; Poisson regression; Confidence interval; Live attenuated influenza vaccine; Environmental health; Administration (probate law); Public health; Family medicine; Virology; Immunology; Internal medicine; Nursing; Coronavirus disease 2019 (COVID-19); Population; Disease; Antigen; Political science; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0009704883,0.0001010929,0.0003279487,0.000282387,0.00004760941,0.000005936959,0.0001142774,0.0001123058,0.001893318],"category_scores_gemma":[0.00571915,0.00006454365,0.00009618775,0.0002552801,0.00003064743,0.00007342423,0.000008513186,0.0003941938,0.00001236215],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.005387916,"about_ca_system_score_gemma":0.03175428,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6529475,"about_ca_topic_score_gemma":0.9630201,"domain_scores_codex":[0.997302,0.0001023958,0.0006598758,0.00009601994,0.001457056,0.0003826373],"domain_scores_gemma":[0.997752,0.0003031151,0.0002966454,0.0000904835,0.0006626892,0.0008951006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003044523,0.00004165612,0.9460064,0.00001743463,0.0001941038,0.0002940375,0.00007381246,0.000005173202,0.0004449551,0.00001975905,0.02384895,0.02874922],"study_design_scores_gemma":[0.003385887,0.0003286517,0.980144,0.0002667458,0.00001545231,0.00007276912,0.00008103022,0.00003266908,0.0005657939,0.00001866328,0.01502133,0.0000669937],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929302,0.000110442,0.000002323229,0.005379438,0.0001529807,0.0001167811,0.0001016885,0.000002181468,0.001203953],"genre_scores_gemma":[0.9980734,0.0001509219,0.0000120941,0.001402182,0.0002644571,0.000003351886,0.000001717653,0.000008217414,0.0000836858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3100726,"threshold_uncertainty_score":0.9990191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0480616976878907,"score_gpt":0.3816691007669546,"score_spread":0.3336074030790639,"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."}}