{"id":"W3136252094","doi":"10.52162/jie.2021.004.01.5","title":"RISK MITIGATION FOR SMALL AND MEDIUM-SIZED ENTERPRISES (SMES) IN THE MIDDLE OF VOLATILITY IN THE WORLD’S ECONOMY CONDITION","year":2021,"lang":"en","type":"article","venue":"OISAA Journal of Indonesia Emas","topic":"SMEs Development and Digital Marketing","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic recovery; Economic slowdown; Volatility (finance); Business; Small and medium-sized enterprises; Pandemic; Coronavirus disease 2019 (COVID-19); World economy; Quarter (Canadian coin); Agency (philosophy); Economic sector; Economics; Economy; Market economy; Economic policy; Finance; Geography; Macroeconomics; 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":[0.001274922,0.000253973,0.0001967347,0.0004446153,0.001157613,0.00221057,0.0003532331,0.001104357,0.003348341],"category_scores_gemma":[0.002985786,0.00007684448,0.0003451823,0.0003084863,0.0006346334,0.001856714,0.002363879,0.0008896188,0.0003403096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008488638,"about_ca_system_score_gemma":0.001464859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001936981,"about_ca_topic_score_gemma":0.002569922,"domain_scores_codex":[0.9994667,0.0002739597,0.00002351741,0.00003328527,0.00008933121,0.0001132656],"domain_scores_gemma":[0.9989792,0.0003543004,0.0001919909,0.0000386319,0.0001540431,0.0002818482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009769436,0.001753568,0.2616797,0.00159101,0.0002653098,0.008578154,0.03121569,0.02472392,0.01126484,0.1799591,0.04145265,0.4365392],"study_design_scores_gemma":[0.0001121316,0.002290414,0.2695001,0.003024397,0.000409654,0.003985682,0.1963266,0.1182004,0.009862585,0.2467545,0.1492382,0.0002953254],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.881262,0.005523794,0.01584381,0.02894947,0.0002131541,0.0001500486,0.0001149723,0.00008598718,0.0678568],"genre_scores_gemma":[0.9950723,0.001044862,0.001426341,0.0001968594,0.00002557058,0.00001860533,0.00001866649,0.00000297028,0.002193616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003348341,"threshold_uncertainty_score":0.01120132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02702719321924021,"score_gpt":0.2793629152754027,"score_spread":0.2523357220561625,"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."}}