{"id":"W4293076659","doi":"10.47300/978-9962-738-05-3-07","title":"IMPACTO DE LA PANDEMIA EN LA ECONOMÍA DE LOS HOGARES EN QUEBEC CANADA","year":2022,"lang":"es","type":"article","venue":"","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Coronavirus disease 2019 (COVID-19); Philosophy; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008480319,0.0003571293,0.0003682232,0.001287902,0.002732336,0.002744098,0.0007382048,0.0004862322,0.005608143],"category_scores_gemma":[0.00231845,0.0001400799,0.0004794005,0.003010449,0.001121335,0.0007064083,0.001191327,0.0007447022,0.0002396444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04430014,"about_ca_system_score_gemma":0.07759561,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9955204,"about_ca_topic_score_gemma":0.9979565,"domain_scores_codex":[0.9990889,0.0001803934,0.00003547322,0.00008086709,0.0002815184,0.0003328067],"domain_scores_gemma":[0.9979271,0.0001622937,0.000274181,0.00003184742,0.00121285,0.0003917472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003657021,0.0001246987,0.8359708,0.001503372,0.0005725329,0.0009757958,0.005228989,0.001620426,0.001347522,0.008468661,0.03614851,0.1076728],"study_design_scores_gemma":[0.00001925874,0.00006887157,0.9411045,0.001203558,0.0003236115,0.0001059835,0.01078847,0.0007938202,0.0003690346,0.0004921323,0.04467031,0.00006046756],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8308812,0.04415548,0.001111422,0.04080764,0.0005270234,0.0002027468,0.01446623,0.00008867132,0.06775945],"genre_scores_gemma":[0.9667624,0.01823529,0.0008196468,0.002464414,0.0000648861,0.00005092633,0.001672649,0.00001663845,0.009913056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04430014,"threshold_uncertainty_score":0.3214215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01268740460982517,"score_gpt":0.2516582605497922,"score_spread":0.238970855939967,"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."}}