{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002305942,0.0001562778,0.0001901646,0.0003566857,0.0004027184,0.0001243111,0.0008725444,0.00002029779,0.00001480018],"category_scores_gemma":[0.0002071884,0.0000914514,0.00004192315,0.001879142,0.0005442253,0.0004445126,0.0005719863,0.0001301749,0.00000782808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000520927,"about_ca_system_score_gemma":0.00002086136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005531278,"about_ca_topic_score_gemma":0.00009426955,"domain_scores_codex":[0.9983093,0.00004267495,0.0004046976,0.0003283391,0.0006011882,0.0003137928],"domain_scores_gemma":[0.9992914,0.0001381171,0.0003044677,0.0002298596,0.0000157473,0.00002046985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006864702,0.00009668411,0.8626124,0.00105515,0.0001220127,0.00001999151,0.04027454,0.001703626,0.002207308,0.06495852,0.001184001,0.02569714],"study_design_scores_gemma":[0.001141923,0.00001589497,0.8393235,0.0000672988,0.00006288838,7.951249e-7,0.1385856,0.001122158,0.0001284909,0.0004320046,0.01881103,0.0003084758],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9662047,0.00002872648,0.0006889908,0.0283461,0.0001309575,0.000623144,6.186818e-7,0.00003881636,0.00393793],"genre_scores_gemma":[0.9868138,0.00002142415,0.0000990549,0.01297965,0.00005456712,0.000008699563,0.000003009421,0.000007399783,0.00001242458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09831107,"threshold_uncertainty_score":0.372928,"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."}}