{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004060758,0.0002064882,0.0001315719,0.0009753908,0.0004650767,0.001382054,0.0001583817,0.0001420296,0.006628014],"category_scores_gemma":[0.0007887419,0.0001067816,0.0002561505,0.001885131,0.0002822816,0.001025149,0.0004507867,0.0003585354,0.0008208636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009376416,"about_ca_system_score_gemma":0.0008918929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008891246,"about_ca_topic_score_gemma":0.01411095,"domain_scores_codex":[0.9997924,0.00002806709,0.00002157294,0.00004842533,0.0000620588,0.00004749499],"domain_scores_gemma":[0.9991128,0.00009165837,0.0003292357,0.00003586434,0.0003520853,0.00007843516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002002958,0.00008248486,0.7624626,0.0006427803,0.0001760692,0.000673077,0.002316876,0.004073057,0.006022108,0.02216331,0.007621779,0.1935656],"study_design_scores_gemma":[0.000008047447,0.0001603836,0.9131534,0.000117583,0.00009380758,0.0005342974,0.005159584,0.003811228,0.004785286,0.003295379,0.06884171,0.00003926269],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9329488,0.001625415,0.005726993,0.001994707,0.00006340605,0.00006289715,0.002042051,0.00007836183,0.0554575],"genre_scores_gemma":[0.9848521,0.001211554,0.001928018,0.0001102135,0.00002159784,0.00001560028,0.001174293,0.00001235716,0.01067434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008891246,"threshold_uncertainty_score":0.02217287,"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."}}