{"id":"W4293087063","doi":"10.1108/ijoa-10-2021-2981","title":"What has been done and what has not – the government of Canada’s economic policy response to the coronavirus pandemic","year":2022,"lang":"en","type":"article","venue":"International journal of organizational analysis","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Government (linguistics); Politics; Corporate governance; Political science; Population; State (computer science); Public relations; Political economy; Economic growth; Public administration; Business; Economics; Sociology; Management","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001517001,0.0001182287,0.0002740742,0.0002068973,0.001203838,0.0001330979,0.0006250119,0.000026004,0.00141838],"category_scores_gemma":[0.0004172028,0.00007600166,0.0001082604,0.0004335199,0.00008751113,0.000369314,0.0005356045,0.0002798784,0.000003769959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001628388,"about_ca_system_score_gemma":0.002208473,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02136499,"about_ca_topic_score_gemma":0.1099132,"domain_scores_codex":[0.9970229,0.0005008851,0.0007468071,0.0001397394,0.001420903,0.000168823],"domain_scores_gemma":[0.9973772,0.001080762,0.0007504253,0.0001465663,0.0005641527,0.00008091453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00387722,0.0001752204,0.8561445,0.00001332464,0.01164276,0.00003778363,0.02753149,0.04076357,0.001368408,0.007241107,0.04583747,0.005367096],"study_design_scores_gemma":[0.0009986893,0.000114061,0.7414536,0.00005924894,0.0005843362,0.00003411205,0.03328386,0.0002738251,0.0001063267,0.0006378713,0.2222872,0.0001669011],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6161014,0.0006868892,0.0001465511,0.3816633,0.001045406,0.0001342737,0.0001765105,0.000003554607,0.00004215092],"genre_scores_gemma":[0.9893883,0.001058534,0.00001947379,0.006889628,0.0005001745,0.00001191377,0.00001731728,0.00001359336,0.002101059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3747737,"threshold_uncertainty_score":0.9994944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04711053673810291,"score_gpt":0.3557201017554986,"score_spread":0.3086095650173957,"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."}}