{"id":"W4378348687","doi":"10.3389/fpubh.2023.1173673","title":"Counterfactuals of effects of vaccination and public health measures on COVID-19 cases in Canada: what could have happened?","year":2023,"lang":"en","type":"article","venue":"Frontiers in Public Health","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kinexus Bioinformatics Corporation (Canada); University of British Columbia; York University; University of Calgary","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Vaccination; Counterfactual conditional; 2019-20 coronavirus outbreak; Public health; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Medicine; Pandemic; Virology; Psychology; Outbreak; Nursing; Social psychology; Counterfactual thinking; Disease; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0647819,0.001210449,0.003519789,0.001704262,0.00150167,0.006121638,0.004453941,0.002912005,0.0187441],"category_scores_gemma":[0.1531534,0.0009389489,0.003859763,0.003072043,0.006233098,0.002868209,0.00261823,0.005422683,0.000781883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0166679,"about_ca_system_score_gemma":0.01815797,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8305056,"about_ca_topic_score_gemma":0.6609972,"domain_scores_codex":[0.9757172,0.01341139,0.001573944,0.003655769,0.002588386,0.003053318],"domain_scores_gemma":[0.8457949,0.1174209,0.01624572,0.0112176,0.00703295,0.002287937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01173119,0.0006767354,0.5679161,0.002220976,0.01730527,0.001346797,0.003128327,0.0483275,0.0007874573,0.2531173,0.03449622,0.05894617],"study_design_scores_gemma":[0.005439216,0.001242924,0.4893057,0.00251493,0.01652762,0.000728004,0.005969692,0.2628909,0.003531139,0.1662331,0.04494249,0.0006742408],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8017786,0.02187345,0.04500457,0.0500736,0.002632597,0.00189301,0.04408497,0.0008520675,0.03180709],"genre_scores_gemma":[0.9825494,0.001849898,0.004433324,0.001308485,0.0002949446,0.0001678093,0.003667931,0.00005801172,0.005670197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1694944,"threshold_uncertainty_score":0.3426035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.306333026553948,"score_gpt":0.4274366577815816,"score_spread":0.1211036312276336,"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."}}