{"id":"W4390006630","doi":"10.54254/2753-8818/24/20231093","title":"Modeling COVID-19 spreading — evidence from Canada","year":2023,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pandemic; Vaccination; Scope (computer science); Coronavirus disease 2019 (COVID-19); Outbreak; Psychological intervention; Political science; Development economics; Geography; Virology; Computer science; Medicine; Economics; Disease","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002989484,0.0005548312,0.0005871038,0.001018536,0.001242307,0.001513678,0.002226246,0.0007896131,0.004444462],"category_scores_gemma":[0.01386485,0.0003104551,0.0007531296,0.002398902,0.0009678067,0.0008885708,0.001229477,0.001250511,0.0003282931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02314154,"about_ca_system_score_gemma":0.02414094,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9885166,"about_ca_topic_score_gemma":0.9806082,"domain_scores_codex":[0.999024,0.0004056041,0.00004052057,0.000116815,0.0001633421,0.000249658],"domain_scores_gemma":[0.9918646,0.004440428,0.0006109136,0.0003919084,0.00228032,0.0004116721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001021125,0.0004323619,0.386712,0.0009354844,0.0006501594,0.0008300537,0.003376626,0.4395252,0.0004559022,0.06813271,0.03585668,0.06207172],"study_design_scores_gemma":[0.0003453448,0.0002058391,0.128063,0.0005926067,0.000471099,0.0001552689,0.007023624,0.8104993,0.0005513886,0.01494128,0.03702012,0.000131101],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9451911,0.005582144,0.007928804,0.00665095,0.00008438904,0.0001762047,0.007320383,0.0001225958,0.02694347],"genre_scores_gemma":[0.9863521,0.002440691,0.003195463,0.0002826761,0.00002034519,0.00003814122,0.002872414,0.00003211758,0.004766076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02314154,"threshold_uncertainty_score":0.1679044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1849793266700786,"score_gpt":0.4235621683001443,"score_spread":0.2385828416300657,"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."}}