{"id":"W4414588480","doi":"10.25318/36280001202100100001","title":"COVID-19: New data and analysis for monitoring Canada's economic recovery","year":2021,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Measure (data warehouse); Economic recovery; Economic analysis; Pandemic; Economic data; Data collection","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":[0.00696397,0.0014215,0.001468464,0.01592652,0.004288827,0.004622575,0.003520568,0.001094165,0.0151603],"category_scores_gemma":[0.03355817,0.001218669,0.001240682,0.030634,0.001063968,0.002100101,0.004832603,0.002751424,0.005323334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03843049,"about_ca_system_score_gemma":0.1566374,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9909813,"about_ca_topic_score_gemma":0.9929873,"domain_scores_codex":[0.98826,0.0007690035,0.0007644918,0.0008738859,0.007799914,0.00153269],"domain_scores_gemma":[0.9489748,0.00354472,0.004258815,0.003772765,0.03430568,0.005143284],"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":[0.0001725569,0.0001081075,0.07384962,0.0004262311,0.0001838682,0.00006180259,0.0004143593,0.001893654,0.0002889688,0.004516284,0.8835144,0.03457007],"study_design_scores_gemma":[0.0001955029,0.00004557469,0.3731838,0.0006420776,0.0001033344,0.00006355722,0.001065898,0.005546133,0.001096057,0.001852511,0.6159615,0.0002439969],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.005775343,0.0002956112,0.002434482,0.00118697,0.00009623863,0.0003959508,0.9810245,0.001011612,0.007779262],"genre_scores_gemma":[0.02417728,0.0005682766,0.01641059,0.0005483021,0.00007404861,0.001250759,0.9501342,0.0005326123,0.006304064],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03843049,"threshold_uncertainty_score":0.278834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07593384936020113,"score_gpt":0.3812829876241393,"score_spread":0.3053491382639382,"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."}}