{"id":"W4390403876","doi":"10.47283/244670492023110101","title":"Impactos econômico-financeiros da pandemia nos negócios no Brasil","year":2023,"lang":"en","type":"article","venue":"Revista Tecnológica da Fatec Americana","topic":"Academic Research in Diverse Fields","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Revenue; Inflation (cosmology); Christian ministry; Business; Coronavirus disease 2019 (COVID-19); Economy; Geography; Economics; Finance; Political science","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":[0.001096571,0.0002466353,0.0003932626,0.002135365,0.0009549782,0.002014356,0.0002646226,0.0004572933,0.003889105],"category_scores_gemma":[0.006927548,0.0001882835,0.0003291461,0.002700752,0.001480438,0.0009393991,0.000966664,0.0005969737,0.0002282449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002153355,"about_ca_system_score_gemma":0.002652966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06889704,"about_ca_topic_score_gemma":0.08645467,"domain_scores_codex":[0.9990525,0.0002554817,0.00006772728,0.00009320809,0.0002926869,0.0002382948],"domain_scores_gemma":[0.9971222,0.0008263606,0.001188026,0.0001533378,0.0003979601,0.0003120561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001234634,0.0001406432,0.8953851,0.000474031,0.00008893546,0.001502185,0.009254177,0.0007182764,0.0008071352,0.02026923,0.001924306,0.06931244],"study_design_scores_gemma":[0.00001232119,0.0001218007,0.9416388,0.0006120626,0.0001148851,0.001210651,0.01345635,0.001127839,0.0003667706,0.003553175,0.03775434,0.00003102536],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9443204,0.004563252,0.0002634104,0.003553305,0.0000466862,0.00004682055,0.001000863,0.00003022169,0.04617496],"genre_scores_gemma":[0.9971619,0.001863849,0.0001377663,0.0000616609,0.0000207948,0.000008052294,0.0001024283,0.00000302263,0.0006406064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06889704,"threshold_uncertainty_score":0.136992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06508946057289179,"score_gpt":0.3730279615306527,"score_spread":0.3079385009577609,"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."}}