{"id":"W3132358339","doi":"10.29119/1641-3466.2021.150.1","title":"Management of a transport company during the Covid-19 pandemic","year":2021,"lang":"en","type":"article","venue":"Scientific Papers of Silesian University of Technology Organization and Management Series","topic":"Banking, Crisis Management, COVID-19 Impact","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Order (exchange); Coronavirus disease 2019 (COVID-19); Business; Pandemic; Quarter (Canadian coin); Investment (military); Marketing; Finance; Political science; Politics","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":[0.004397361,0.0002900043,0.0001670704,0.001540181,0.006195256,0.005623627,0.0007959263,0.002172803,0.002904217],"category_scores_gemma":[0.007748817,0.0002298731,0.0002111931,0.001236888,0.003055861,0.00339251,0.00296252,0.001417033,0.0005913895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006224802,"about_ca_system_score_gemma":0.009531506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01128382,"about_ca_topic_score_gemma":0.01198481,"domain_scores_codex":[0.9949436,0.002540843,0.0003707013,0.0003068619,0.0009364539,0.0009016566],"domain_scores_gemma":[0.9922985,0.002181192,0.002372505,0.0001715608,0.001707701,0.001268665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0003955814,0.0004922757,0.1835604,0.00323485,0.0001723665,0.05419838,0.3779962,0.004326673,0.01402482,0.0449742,0.04873285,0.2678915],"study_design_scores_gemma":[0.00001887395,0.0004180197,0.0754301,0.00179779,0.00008189648,0.005934058,0.7320635,0.001688097,0.003952582,0.003532028,0.1749683,0.0001147068],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.902024,0.007870293,0.005632681,0.03085036,0.0003928875,0.0003807228,0.0001398217,0.00007552931,0.05263368],"genre_scores_gemma":[0.9845114,0.003993955,0.001732989,0.001051018,0.00008058215,0.00006123588,0.00008558232,0.00001245196,0.00847078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01128382,"threshold_uncertainty_score":0.04516429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01149581467830601,"score_gpt":0.1958148254542409,"score_spread":0.1843190107759349,"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."}}