{"id":"W3116302344","doi":"10.1101/2020.12.22.20248685","title":"Environmental scan of provincial and territorial planning for COVID-19 vaccination programs","year":2020,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Waterloo; Public Health Ontario; Université de Sherbrooke; University of Alberta","funders":"Canadian Institutes of Health Research","keywords":"Vaccination; Coronavirus disease 2019 (COVID-19); Public health; Family medicine; Medicine; Health care; Immunization; Environmental health; Political science; Nursing; Disease; Immunology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00143266,0.0001212934,0.0001669873,0.001170816,0.005394759,0.001755836,0.0008227967,0.0002490119,0.00453763],"category_scores_gemma":[0.00529635,0.0001996811,0.000225015,0.002550739,0.001121433,0.0003945481,0.001709,0.0004783075,0.0001611673],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03012692,"about_ca_system_score_gemma":0.06069126,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9506898,"about_ca_topic_score_gemma":0.9775648,"domain_scores_codex":[0.9979194,0.0004977296,0.00006783277,0.0001705996,0.0005869534,0.0007575637],"domain_scores_gemma":[0.9951261,0.0008761808,0.0006851971,0.0001666907,0.002311028,0.0008347358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002820207,0.0001151519,0.8399379,0.0005504264,0.00005037486,0.0009614687,0.05331114,0.001160845,0.002180106,0.004263602,0.008370614,0.08881627],"study_design_scores_gemma":[0.000008903288,0.00007249296,0.877719,0.0001570602,0.00002498471,0.0001064898,0.08111931,0.0006568631,0.0006086554,0.0003163932,0.0391838,0.00002604468],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9574353,0.0004295324,0.0006502324,0.002055814,0.00002207532,0.0001883969,0.002304527,0.00004331513,0.03687077],"genre_scores_gemma":[0.9959946,0.0001892782,0.0007418927,0.000113124,0.000003827059,0.00003677448,0.0005774673,0.000005556148,0.00233758],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9698731,"threshold_uncertainty_score":0.2185871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0481696773583936,"score_gpt":0.3330243539751591,"score_spread":0.2848546766167655,"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."}}