{"id":"W7047636526","doi":"","title":"Impacto del Covid-19 en el mercado laboral en América del Norte en 2019-2020 por sectores económicos, nivel de instrucción, género y edad: un modelo de datos panel 2013-2020","year":2023,"lang":"es","type":"other","venue":"Munich Personal RePEc Archive (Munich University)","topic":"Superconducting and THz Device Technology","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Public sector; Unemployment; Panel data; Quarter (Canadian coin); Private sector","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":[0.00145876,0.0004365726,0.0005520549,0.0006020378,0.0007836575,0.001886123,0.0008318856,0.0006541378,0.004235035],"category_scores_gemma":[0.003179012,0.0003224903,0.0008322452,0.001004643,0.00050397,0.0008402466,0.00131791,0.001013809,0.0005028831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005890577,"about_ca_system_score_gemma":0.005269323,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6689817,"about_ca_topic_score_gemma":0.6524491,"domain_scores_codex":[0.9994493,0.0001631902,0.00001960401,0.00009918094,0.00009014041,0.0001784438],"domain_scores_gemma":[0.9984302,0.0003494138,0.0003735943,0.0000796927,0.0005283836,0.0002387397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009595266,0.0001957371,0.9226161,0.0001924832,0.0006683153,0.0002876365,0.0009614428,0.04227597,0.0004653612,0.003396796,0.01014505,0.0178355],"study_design_scores_gemma":[0.0001179991,0.0003090838,0.917962,0.0002779462,0.0006430283,0.00006439208,0.003764179,0.04848129,0.0007091578,0.001618179,0.02597267,0.0000801721],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9655637,0.00168075,0.00159958,0.003101485,0.00009299895,0.000109814,0.02071262,0.00008721117,0.007051728],"genre_scores_gemma":[0.9814379,0.0009806476,0.0008012328,0.0002124733,0.0000318835,0.0001148575,0.01015525,0.00001697564,0.006248699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3310183,"threshold_uncertainty_score":0.6659354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0163410815749398,"score_gpt":0.2552763344797793,"score_spread":0.2389352529048395,"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."}}