{"id":"W3039723755","doi":"10.5267/j.msl.2020.6.025","title":"Policy related factors affecting the survival and development of SMEs in the context of Covid 19 pandemic","year":2020,"lang":"en","type":"article","venue":"Management Science Letters","topic":"Safety and Risk Management","field":"Business, Management and Accounting","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Government (linguistics); Business; Pandemic; Coronavirus disease 2019 (COVID-19); Public policy; Order (exchange); Economic growth; Finance; Economics; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0006110307,0.0001195103,0.0001582006,0.0005977343,0.001163163,0.001436403,0.0002074603,0.0004789552,0.001812142],"category_scores_gemma":[0.002572517,0.00008361859,0.0001340431,0.0009286499,0.0006995275,0.0005634527,0.000781795,0.0005680451,0.00009189561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003759037,"about_ca_system_score_gemma":0.00508452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06672505,"about_ca_topic_score_gemma":0.1031134,"domain_scores_codex":[0.9994034,0.0001570762,0.00002630811,0.00002757135,0.00004353056,0.0003422269],"domain_scores_gemma":[0.9977598,0.0005951066,0.000827244,0.00003721048,0.0002701803,0.0005103888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001563679,0.0001945824,0.965825,0.0001140438,0.0000429647,0.002018068,0.007980143,0.002481959,0.001140929,0.005220366,0.0009887748,0.01383677],"study_design_scores_gemma":[0.000005450263,0.00007591319,0.9584182,0.0000712914,0.00002033227,0.0001300437,0.03645243,0.001120391,0.0002331201,0.0008263904,0.00263269,0.00001376888],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995919,0.0001374963,0.00005797504,0.001011217,0.000004384902,0.000009946683,0.00005079258,0.000001220306,0.002807934],"genre_scores_gemma":[0.9996977,0.00009299757,0.00001542002,0.00002214306,0.000002064288,0.000002243267,0.00001676798,1.991002e-7,0.0001505677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06672505,"threshold_uncertainty_score":0.1326733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04398774891283175,"score_gpt":0.2623818737062714,"score_spread":0.2183941247934397,"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."}}