{"id":"W3211568311","doi":"10.5267/j.uscm.2021.10.014","title":"Critical thinking and creativity of MSMEs in improving business performance during the covid-19 pandemic","year":2021,"lang":"en","type":"article","venue":"Uncertain Supply Chain Management","topic":"SMEs Development and Digital Marketing","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Creativity; Pandemic; Sample (material); Small and medium-sized enterprises; Critical thinking; Business; 2019-20 coronavirus outbreak; Psychology; Knowledge management; Marketing; Computer science; Medicine; Social psychology; Mathematics education; Disease","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":[0.002189478,0.0001171567,0.0001641566,0.0001055696,0.0005815232,0.0001604113,0.0002201918,0.00004839367,0.00009259227],"category_scores_gemma":[0.001635979,0.00009895096,0.00002838144,0.0006035804,0.0002978582,0.0002846997,0.0003402441,0.0001095347,0.000001056815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002467072,"about_ca_system_score_gemma":0.0001778637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009306727,"about_ca_topic_score_gemma":0.001543641,"domain_scores_codex":[0.9984377,0.0002538902,0.0002539662,0.0002853741,0.000409163,0.0003599292],"domain_scores_gemma":[0.9987787,0.0008421969,0.00006655399,0.0001522773,0.00008037684,0.00007986488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000338783,0.00003622689,0.9588409,0.0006351423,0.00001602694,0.000053593,0.01163627,0.0001678954,0.00005051753,0.01420364,0.00004793573,0.01427798],"study_design_scores_gemma":[0.0008226368,0.00001239644,0.9327409,0.0002839906,0.0000245738,0.000008421696,0.04892717,0.0007860063,0.00005174606,0.006057806,0.009945928,0.0003383958],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9698988,0.0003278652,0.0003676786,0.004347415,0.0001240477,0.000292057,0.000002435924,0.00005049625,0.02458926],"genre_scores_gemma":[0.9968969,0.0005454019,0.0007168269,0.0004435482,0.00005011023,0.00003259179,0.00000405437,0.000007862811,0.001302674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03729089,"threshold_uncertainty_score":0.4472665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02589622702022168,"score_gpt":0.2936884127956298,"score_spread":0.2677921857754081,"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."}}