{"id":"W3170023403","doi":"10.14745/ccdr.v47i56a07","title":"Environmental scan of provincial and territorial planning for COVID-19 vaccination programs in Canada","year":2021,"lang":"en","type":"article","venue":"Canada Communicable Disease Report","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire de Sherbrooke; University of Waterloo; University of British Columbia; Public Health Ontario; Université de Sherbrooke; University of Alberta","funders":"Canadian Institutes of Health Research","keywords":"Vaccination; Public health; Coronavirus disease 2019 (COVID-19); Medicine; Family medicine; Health care; Immunization; Environmental health; Business; Political science; Disease; Nursing; Immunology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001105043,0.0001758936,0.0002175023,0.001000099,0.007050464,0.001678507,0.00111925,0.0003121753,0.003337795],"category_scores_gemma":[0.003755706,0.0002879918,0.0002815617,0.002447194,0.001238304,0.0003575785,0.001740863,0.0005872396,0.0001389071],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06726487,"about_ca_system_score_gemma":0.1292534,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9955865,"about_ca_topic_score_gemma":0.9982273,"domain_scores_codex":[0.9981062,0.0002862542,0.00006396559,0.0001727045,0.000573952,0.0007967889],"domain_scores_gemma":[0.9954022,0.0005389952,0.000592346,0.00008688885,0.00221419,0.001165309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000254242,0.0001359953,0.8694199,0.0004833457,0.00006517567,0.0008737266,0.05782897,0.000983635,0.001639921,0.002001701,0.009522137,0.05679118],"study_design_scores_gemma":[0.000007336216,0.00005156361,0.9101074,0.0001449349,0.00001975741,0.00007046835,0.06731772,0.0006487124,0.0003041228,0.0001371744,0.02116079,0.00003009561],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9782338,0.0005608822,0.0004619216,0.001916793,0.00001936874,0.0002029427,0.002421913,0.00002939617,0.01615301],"genre_scores_gemma":[0.9956455,0.0003201251,0.0006845255,0.0002267939,0.00000321715,0.00005152823,0.0006442365,0.00000696162,0.002417112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9327351,"threshold_uncertainty_score":0.4880431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03108476218040911,"score_gpt":0.2880411583670997,"score_spread":0.2569563961866906,"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."}}