{"id":"W3193141391","doi":"","title":"우리나라 수출의 품목 및 국가별 집중도 분석과 다변화 전략에 관한 연구","year":2019,"lang":"ko","type":"article","venue":"무역통상학회지","topic":"Energy and Environmental Systems","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Diversification (marketing strategy); China; International trade; Export performance; Quarter (Canadian coin); Portfolio; International economics; Economics; Export trade; Business; Geography","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006780012,0.0002827099,0.0003826217,0.00005038536,0.0004907568,0.0001297665,0.0005687302,0.0004068413,0.01017718],"category_scores_gemma":[0.00002707217,0.0002759441,0.0002165354,0.0003102007,0.0003226582,0.0003417974,0.0001741963,0.0002904538,0.01885593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002505101,"about_ca_system_score_gemma":0.00007268253,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008422252,"about_ca_topic_score_gemma":0.00153622,"domain_scores_codex":[0.9972724,0.0003124259,0.0003879701,0.0005624317,0.0007232526,0.0007414957],"domain_scores_gemma":[0.9988914,0.0001194718,0.0001878557,0.0004993691,0.00001675144,0.0002851976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000931088,0.0005365997,0.8649585,0.0002423951,0.0002929116,0.00005751039,0.03217364,0.0006322923,0.0067531,0.04606275,0.02435899,0.02383822],"study_design_scores_gemma":[0.0007597919,0.000240631,0.08010273,0.0002178269,0.0000623979,0.000005641957,0.01099937,0.0001815095,0.001229255,0.001160665,0.9041642,0.0008759878],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7697944,0.000553013,0.00001248522,0.001037959,0.003305791,0.0002896533,0.00001684785,0.00007089393,0.224919],"genre_scores_gemma":[0.8698345,0.0004483836,0.00003303484,0.0004630947,0.0009532753,0.00001478819,0.00001374138,0.0000318272,0.1282074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8798052,"threshold_uncertainty_score":0.9999692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008627014278366181,"score_gpt":0.2296738563879856,"score_spread":0.2210468421096194,"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."}}