{"id":"W2358429840","doi":"","title":"FTA Strategy Comparison between China and Korea and the Future of Sino-Korea FTA Negotiation","year":2010,"lang":"en","type":"article","venue":"International Business Research","topic":"Asian Industrial and Economic Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Negotiation; Tariff; International trade; Free trade agreement; Distribution (mathematics); Business; International economics; Economics; Free trade; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001774802,0.00006522449,0.0001442907,0.0001193393,0.0003525739,0.0001976234,0.0003318487,0.0001158131,0.0003358253],"category_scores_gemma":[0.0002934832,0.00004696609,0.00001408702,0.0002106614,0.000832467,0.0002198165,0.0001396562,0.0003514007,0.00001421465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004329833,"about_ca_system_score_gemma":0.0002025372,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007077494,"about_ca_topic_score_gemma":0.00301983,"domain_scores_codex":[0.9988329,0.0001361966,0.0002088112,0.0001661026,0.0004712322,0.0001847563],"domain_scores_gemma":[0.999046,0.0002927347,0.00009037956,0.00008920897,0.0004127495,0.00006887769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002678336,0.0001277233,0.4280435,0.00002219552,0.0001230147,0.000002393968,0.007615968,0.00001582598,0.0001724304,0.1461741,0.009257264,0.4081778],"study_design_scores_gemma":[0.0010296,0.00001054226,0.8962045,0.00001326479,0.000004560967,0.000001300233,0.002127885,0.0001331749,0.00003731117,0.007374555,0.0929891,0.00007422793],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.930622,0.00007240117,0.00001736445,0.03147462,0.0006457682,0.0002426617,0.00002547222,0.000009576213,0.03689014],"genre_scores_gemma":[0.9966998,0.0001530797,0.00005618898,0.0000118904,0.00138327,0.00001068117,0.00004791676,0.000004888999,0.001632273],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.468161,"threshold_uncertainty_score":0.9995345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07508164021099144,"score_gpt":0.3858147406018291,"score_spread":0.3107331003908376,"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."}}