{"id":"W4402285678","doi":"10.55016/ojs/sppp.v11i1.43149","title":"The Security Dimension of a China Free Trade Agreement Balancing Benefits and Risk – The Security Dilemma","year":2018,"lang":"en","type":"article","venue":"The School of Public Policy Publications","topic":"Global Political and Economic Relations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dilemma; China; Dimension (graph theory); Security dilemma; Business; International trade; Political science; Mathematics; Law","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":[0.01105795,0.000473334,0.000449035,0.001558322,0.01385438,0.01251552,0.00168509,0.005931573,0.007273354],"category_scores_gemma":[0.008991078,0.0003292236,0.0005509269,0.001712297,0.01689584,0.008249624,0.005386217,0.006197946,0.0005374631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04435621,"about_ca_system_score_gemma":0.0905226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2851231,"about_ca_topic_score_gemma":0.3564211,"domain_scores_codex":[0.9920224,0.00239136,0.0002206189,0.0006690128,0.002403276,0.002293325],"domain_scores_gemma":[0.9947075,0.001501763,0.000381606,0.000352335,0.001314865,0.001741941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006070868,0.00001883248,0.002747979,0.00006595486,0.00002156103,0.0006449963,0.005763707,0.001682792,0.0004215467,0.9669172,0.009700449,0.01195423],"study_design_scores_gemma":[0.00008587133,0.00008739439,0.008920882,0.0004383443,0.00006201287,0.0004753982,0.02025072,0.007327523,0.0009582545,0.6973599,0.2638417,0.0001919261],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2339305,0.004842097,0.01238597,0.1699826,0.0009711028,0.0002502869,0.0002289078,0.00008190891,0.5773267],"genre_scores_gemma":[0.9520628,0.001194326,0.002822194,0.008276745,0.0001766492,0.00008985375,0.00006426294,0.00002569769,0.03528745],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2851231,"threshold_uncertainty_score":0.566927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02241456745490667,"score_gpt":0.2866415674960339,"score_spread":0.2642270000411273,"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."}}