{"id":"W4225134155","doi":"10.2196/31968","title":"COVID-19 Vaccination and Public Health Countermeasures on Variants of Concern in Canada: Evidence From a Spatial Hierarchical Cluster Analysis","year":2022,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina; University of Saskatchewan; Saskatchewan Health","funders":"University of Toronto; Canadian Institutes of Health Research; University of Ottawa","keywords":"Public health; Environmental health; Cluster (spacecraft); Geography; Index (typography); Population; Coronavirus disease 2019 (COVID-19); Vaccination; Socioeconomics; Demography; Medicine; Disease; Virology","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":[0.006364361,0.0006788251,0.001028233,0.002722356,0.00427676,0.00181155,0.002748605,0.0005716139,0.003079257],"category_scores_gemma":[0.03358218,0.0005192289,0.002432598,0.007543363,0.002342989,0.000726544,0.002692433,0.001313867,0.000175527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03253489,"about_ca_system_score_gemma":0.09303919,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9947877,"about_ca_topic_score_gemma":0.9944978,"domain_scores_codex":[0.9933488,0.001558315,0.0005045687,0.001339663,0.002140705,0.00110797],"domain_scores_gemma":[0.9673524,0.006942683,0.007183193,0.00235319,0.01352926,0.002639272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003897443,0.0000344115,0.9723985,0.0003229963,0.001134997,0.00006763697,0.001401953,0.001388376,0.00006566738,0.001170498,0.003883983,0.01774127],"study_design_scores_gemma":[0.00005740966,0.00006947425,0.9843388,0.0005781745,0.001222533,0.00006523153,0.002823597,0.005668563,0.000155426,0.0008799311,0.004090196,0.00005069879],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9495366,0.01157059,0.004866701,0.004651569,0.0001582743,0.0002925749,0.01730886,0.0001199253,0.01149488],"genre_scores_gemma":[0.9930748,0.001898196,0.00170349,0.0002097823,0.00001732789,0.00004634029,0.002323831,0.0000260828,0.0007002014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03253489,"threshold_uncertainty_score":0.2360582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2535906724006793,"score_gpt":0.4239685934560217,"score_spread":0.1703779210553424,"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."}}