{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002077164,0.0001386195,0.0002526128,0.00004469089,0.0005642191,0.00004678394,0.0004517282,0.00004215351,0.00009920382],"category_scores_gemma":[0.05317125,0.00008556472,0.00003215669,0.0007350635,0.001523301,0.0001410934,0.0005937359,0.0002226696,0.00001196999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002542907,"about_ca_system_score_gemma":0.0004180183,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1597115,"about_ca_topic_score_gemma":0.03110634,"domain_scores_codex":[0.9981496,0.00009419079,0.0002325941,0.0004941288,0.000521713,0.0005077816],"domain_scores_gemma":[0.9898498,0.009477113,0.00003448152,0.0002026342,0.00005772046,0.0003782314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003972011,0.000006487307,0.00314787,0.00004358465,0.000008044891,0.00003485758,0.0003916843,0.0004421182,0.002857686,0.990384,0.0009782539,0.001665677],"study_design_scores_gemma":[0.00006486242,0.00001409902,0.001837534,0.00005314435,0.0000106497,0.000002100862,0.0001227412,0.2316972,0.0002185193,0.7657609,0.00007674094,0.0001414908],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799984,0.0004529294,0.003288207,0.01556212,0.0001951276,0.0001257064,0.000009430585,0.0001680587,0.0002000656],"genre_scores_gemma":[0.9961116,0.000156467,0.001364748,0.002258354,0.00006340016,0.000006692966,7.817703e-7,0.000004636063,0.00003337573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2312551,"threshold_uncertainty_score":0.9865735,"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."}}