{"id":"W4282933036","doi":"10.1101/2022.06.09.22276226","title":"American Covid: An Econometric Analysis of Variants","year":2022,"lang":"en","type":"preprint","venue":"medRxiv","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Delta; Coronavirus disease 2019 (COVID-19); Immunity; Vaccination; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Econometric analysis; Virology; Biology; Value (mathematics); Demography; Immunology; Geography; Medicine; Econometrics; Economics; Statistics; Internal medicine; Immune system; Outbreak; Mathematics; Sociology; Disease; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.004577459,0.0002405197,0.0005183536,0.001546323,0.0002695161,0.001065264,0.00054289,0.0003523481,0.004368859],"category_scores_gemma":[0.01376765,0.0002039646,0.0007546461,0.002412659,0.0003608822,0.0005040611,0.0007136678,0.001027872,0.0004833249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001071004,"about_ca_system_score_gemma":0.0006182772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02886956,"about_ca_topic_score_gemma":0.01584492,"domain_scores_codex":[0.9982475,0.001015448,0.00006238138,0.0002731875,0.0002290553,0.0001724386],"domain_scores_gemma":[0.9907207,0.006990172,0.0008749843,0.0006827457,0.0004706795,0.0002606644],"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":[0.0005791205,0.000218574,0.7920866,0.00007147181,0.0006941514,0.0004319056,0.0002195275,0.1235296,0.0005573729,0.02290237,0.009747965,0.04896147],"study_design_scores_gemma":[0.00006219502,0.0002173799,0.414922,0.00003060025,0.0001680172,0.0001744715,0.0007316699,0.5646464,0.0004975533,0.01041943,0.008075098,0.0000551502],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9673045,0.0007885518,0.01974203,0.001081348,0.00006464354,0.00005699296,0.005978707,0.0001825665,0.004800512],"genre_scores_gemma":[0.9902909,0.0001552131,0.003186089,0.00005184071,0.00003686216,0.00002123845,0.004129229,0.0000221741,0.002106359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02886956,"threshold_uncertainty_score":0.05740309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07261350084559749,"score_gpt":0.3924255622913252,"score_spread":0.3198120614457277,"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."}}