{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003676351,0.00006556926,0.0001758652,0.0001066397,0.000117017,0.00009968417,0.0001758426,0.00004115717,0.00002284626],"category_scores_gemma":[0.000975578,0.00004333218,0.00007299382,0.0002749598,0.0001195643,0.0002945293,0.00001533916,0.0001385986,2.340622e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004695301,"about_ca_system_score_gemma":0.0002654576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006485679,"about_ca_topic_score_gemma":0.003988598,"domain_scores_codex":[0.9985647,0.0005773857,0.000458144,0.00008258023,0.0001879435,0.0001292364],"domain_scores_gemma":[0.9972256,0.00211385,0.0004137503,0.00006510312,0.0001538127,0.0000278336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001448108,0.00009480718,0.9703912,0.00004016386,0.0000206985,0.00001138404,0.02449116,0.000003094719,0.00005901069,0.001522297,0.0002588933,0.002962466],"study_design_scores_gemma":[0.001336881,0.00003967949,0.9472154,0.000201078,0.00002746852,0.00001217569,0.03602345,0.0000321031,0.0006139025,0.01084941,0.003566198,0.00008222423],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889627,0.000265617,0.00009003653,0.002563422,0.00009966634,0.0002005211,0.000003385584,0.000001680495,0.007813043],"genre_scores_gemma":[0.9992045,0.00007662479,0.0003549037,0.0002077833,0.00009586092,0.000009732895,0.00000399686,0.000003018357,0.00004356465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02317579,"threshold_uncertainty_score":0.2225731,"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."}}