{"id":"W3169652741","doi":"","title":"The Security Dimension of a China Free Trade Agreement: Balancing Benefits and Risk","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"China; Negotiation; International trade; Free trade agreement; Political science; Government (linguistics); Framework agreement; Free trade; Economics; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006222651,0.0003297369,0.0003997144,0.001216968,0.009834061,0.01154638,0.001097798,0.003493639,0.006215258],"category_scores_gemma":[0.007188621,0.00023865,0.0004174674,0.001595468,0.01360471,0.005602859,0.005733336,0.004621775,0.0001951519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05288787,"about_ca_system_score_gemma":0.07767554,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4094076,"about_ca_topic_score_gemma":0.6044716,"domain_scores_codex":[0.9939983,0.001580138,0.0001098027,0.0003621225,0.001882328,0.002067362],"domain_scores_gemma":[0.9967847,0.0008393767,0.000307873,0.000198498,0.000817217,0.001052342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004473583,0.00001833694,0.0052075,0.00003654848,0.00001658947,0.0002731916,0.003631445,0.001378297,0.0002491272,0.9762691,0.003698671,0.00917646],"study_design_scores_gemma":[0.00008097825,0.0001024262,0.02594267,0.0004865479,0.00007761852,0.0002209653,0.01885677,0.006551427,0.0008805388,0.7003248,0.2463334,0.0001417663],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3485807,0.004281329,0.009241946,0.1223291,0.0004098198,0.0001724342,0.0002204981,0.00004597015,0.5147182],"genre_scores_gemma":[0.9783698,0.0008189022,0.001155583,0.003142097,0.00006899983,0.00004141698,0.0000367857,0.000008734219,0.01635764],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5905924,"threshold_uncertainty_score":0.8140492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005067070476508354,"score_gpt":0.2330351895080751,"score_spread":0.2279681190315667,"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."}}