{"id":"W3156622024","doi":"","title":"CPTPP 가입 이후 캐나다 무역환경의 변화가 한국무역에 미치는 영향","year":2021,"lang":"ko","type":"article","venue":"무역연구","topic":"Global Political and Economic Relations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer 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":[0.004485579,0.0004851769,0.0004974323,0.001752271,0.002719428,0.004117046,0.001285624,0.001215509,0.1561938],"category_scores_gemma":[0.006595343,0.0005256096,0.0005775556,0.002087373,0.001325242,0.0009096876,0.002113294,0.001978399,0.03743852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02442002,"about_ca_system_score_gemma":0.05690629,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4674258,"about_ca_topic_score_gemma":0.6167148,"domain_scores_codex":[0.9978003,0.0003299629,0.00009681161,0.0003484372,0.000928397,0.0004961424],"domain_scores_gemma":[0.9922691,0.0004401368,0.0002415675,0.0004049751,0.004843449,0.00180088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001980021,0.0003450369,0.01182866,0.0008367706,0.00003766743,0.0002283546,0.0006612691,0.0005839136,0.0008023829,0.01849036,0.892773,0.07143263],"study_design_scores_gemma":[0.0003044279,0.0003992439,0.07093666,0.0006966565,0.00003606839,0.00007693878,0.001560812,0.0007903504,0.001735392,0.001630134,0.9217664,0.00006689531],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04298384,0.001034763,0.00950761,0.01138171,0.01046145,0.03633522,0.3157216,0.00203659,0.5705372],"genre_scores_gemma":[0.07889298,0.0008548553,0.01119237,0.005776263,0.0006252376,0.02794029,0.08793706,0.0005603974,0.7862206],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5325742,"threshold_uncertainty_score":0.9294101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02894188109971776,"score_gpt":0.2974256170307913,"score_spread":0.2684837359310736,"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."}}