{"id":"W3132879569","doi":"10.33726/akdpapers2447-7656v11a72021p58-78","title":"O IMPACTO ECONÔMICO NAS MICROEMPRESAS BRASILEIRAS DURANTE A CRISE DA COVID-19 E AS MEDIDAS ADOTADAS POR PARTE DO GOVERNO FEDERAL NO MERCADO DE TRABALHO","year":2021,"lang":"en","type":"article","venue":"Revista AKEDIA Versões Negligências e Outros Mundos","topic":"Academic Research in Diverse Fields","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Government (linguistics); Christian ministry; Welfare economics; Context (archaeology); Coronavirus disease 2019 (COVID-19); Population; Humanities; Economic stability; Business; Political science; Economy; Geography; Economics; Sociology; Medicine; Demography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.002213233,0.000221057,0.0004046132,0.002067231,0.002199914,0.002614679,0.0004707254,0.0005951197,0.003108874],"category_scores_gemma":[0.008978731,0.0002166899,0.0002754009,0.002421655,0.00244123,0.0009320151,0.002058429,0.0006814455,0.0002304109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0038019,"about_ca_system_score_gemma":0.004646168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08542444,"about_ca_topic_score_gemma":0.1825015,"domain_scores_codex":[0.9977413,0.0006242368,0.0001122531,0.0001856745,0.0006284869,0.0007080407],"domain_scores_gemma":[0.9941519,0.001746424,0.001761258,0.0003993361,0.0009150929,0.001025983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002249061,0.0001689458,0.8717477,0.0003659743,0.00007031915,0.001384421,0.03010864,0.0005874733,0.001473174,0.01393682,0.001634249,0.07829737],"study_design_scores_gemma":[0.000005948928,0.0001324008,0.9413748,0.0002531076,0.00003219384,0.0003439201,0.03346885,0.00030999,0.0003124064,0.001241363,0.02250676,0.00001816574],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9762576,0.001848048,0.0001816586,0.002335617,0.00003034445,0.00002808523,0.0002576512,0.000009207077,0.01905172],"genre_scores_gemma":[0.9980392,0.0008702474,0.0001137505,0.00005405197,0.00001255889,0.000008070224,0.00005541759,0.0000017473,0.0008449955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08542444,"threshold_uncertainty_score":0.1698544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04858059009877851,"score_gpt":0.3781242002412431,"score_spread":0.3295436101424646,"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."}}