{"id":"W3117738920","doi":"10.20542/afij-2020-3-65-76","title":"Canada's Multi-Pronged Response to the Covid-19 Outbreak","year":2020,"lang":"en","type":"article","venue":"Analysis and Forecasting IMEMO Journal","topic":"Global Public Health Policies and Epidemiology","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Population; Dynamism; Economic growth; Political science; Politics; Democracy; Business; Public administration; Economics; Medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.003098588,0.0001687429,0.0004207099,0.0002185123,0.0009890742,0.0003427902,0.0003194604,0.00005202222,0.0001449504],"category_scores_gemma":[0.008101891,0.0001087936,0.0001577827,0.001373289,0.00004206004,0.0001942853,0.0002181853,0.0003040927,0.00001915369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009347667,"about_ca_system_score_gemma":0.0003736591,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6162838,"about_ca_topic_score_gemma":0.4319123,"domain_scores_codex":[0.9982198,0.0001414241,0.0005895612,0.0002558716,0.0002548917,0.0005384849],"domain_scores_gemma":[0.998601,0.0003485877,0.0004096043,0.0001539166,0.0001810846,0.0003057672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003747481,0.00001669087,0.0676775,0.000056559,0.0005231336,0.0000667686,0.0002507606,0.03189282,0.00003469012,0.0003838608,0.8913258,0.007396721],"study_design_scores_gemma":[0.000326668,0.00001635577,0.03270967,0.000003745636,0.0002510592,0.00002841832,0.0005245954,0.1212356,2.580798e-7,0.00003096768,0.8447412,0.0001314551],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2198175,0.0001692758,0.01331011,0.7655779,0.0002110083,0.000156066,0.0000158842,0.0000325163,0.0007096872],"genre_scores_gemma":[0.6676775,0.00001087598,0.0003498477,0.3307174,0.001135397,0.000003596529,0.000005955912,0.000009833924,0.00008962478],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.4478599,"threshold_uncertainty_score":0.9699305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09308141828822605,"score_gpt":0.3081653955015808,"score_spread":0.2150839772133547,"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."}}