{"id":"W3169028947","doi":"","title":"Finances of the Nation: The Economic Response of Governments in Canada to COVID-19 in the First Three Months of the Crisis","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Crisis response; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Emergency response; Political science; Economic policy; Economics; Business; Development economics; Medicine; Medical emergency; Virology; Public relations","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":[0.001586338,0.000242776,0.0002750902,0.001827696,0.009833221,0.006297479,0.0009491991,0.001470936,0.004069844],"category_scores_gemma":[0.007183592,0.0002334769,0.0002385181,0.004639177,0.002940761,0.001311735,0.00209539,0.002348074,0.0002347138],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.1786336,"about_ca_system_score_gemma":0.2209124,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9971966,"about_ca_topic_score_gemma":0.9986262,"domain_scores_codex":[0.9963486,0.000242551,0.00004521794,0.0001193873,0.00142397,0.001820158],"domain_scores_gemma":[0.9963765,0.0002815139,0.0002968432,0.00004474936,0.001480983,0.001519432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002155578,0.00009094596,0.1316451,0.0002993793,0.00009910087,0.001332642,0.02305293,0.003419447,0.0006156762,0.2645635,0.4838865,0.09077918],"study_design_scores_gemma":[0.00003175003,0.00003417066,0.2885233,0.0004023782,0.00004624397,0.0001515673,0.04102856,0.001811422,0.0004517142,0.006637616,0.6607286,0.0001526834],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4565689,0.01260086,0.0005981009,0.2700435,0.001081499,0.0001324937,0.005278677,0.00009445289,0.2536015],"genre_scores_gemma":[0.9487984,0.006865819,0.0005227767,0.008841773,0.0001134208,0.0000270075,0.001009937,0.00003651725,0.03378442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8213664,"threshold_uncertainty_score":0.9526685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01528461123555154,"score_gpt":0.253792712163931,"score_spread":0.2385081009283794,"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."}}