{"id":"W2354904278","doi":"","title":"International Comparative and Empirical Study On the “Negative Listings”","year":2014,"lang":"en","type":"article","venue":"Shanghai jingji yanjiu","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Connotation; Free trade zone; International trade; Foreign direct investment; Business; Economics; Political science; Law; Macroeconomics","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":[0.002137506,0.0002010279,0.0001498776,0.002770134,0.0007629963,0.001672988,0.0003113671,0.0003115135,0.005928436],"category_scores_gemma":[0.003327477,0.00006775319,0.0002117941,0.006291377,0.001218723,0.001665063,0.0005785736,0.0005141642,0.000322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001449628,"about_ca_system_score_gemma":0.001198423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01279715,"about_ca_topic_score_gemma":0.01769174,"domain_scores_codex":[0.9989532,0.0003348338,0.00008438552,0.000129998,0.0003284631,0.0001690082],"domain_scores_gemma":[0.9966988,0.0009184842,0.00113312,0.0001980022,0.0008300224,0.0002215477],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002270751,0.0002474349,0.5672684,0.001043956,0.0001571587,0.001496663,0.01390999,0.0009595504,0.00121167,0.1588072,0.02950479,0.2251661],"study_design_scores_gemma":[0.00001210828,0.00009286656,0.8615227,0.0004363122,0.0001338055,0.0004883793,0.01806798,0.001049836,0.0007548353,0.003790808,0.1136167,0.00003359368],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8048681,0.01495036,0.001705538,0.004173984,0.0002712235,0.00004931018,0.0009317539,0.0000261612,0.1730235],"genre_scores_gemma":[0.9868976,0.005480085,0.0004675863,0.000338468,0.000113948,0.00001121319,0.0009599324,0.000008627576,0.005722495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01279715,"threshold_uncertainty_score":0.02544534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1759432065343334,"score_gpt":0.2999854903113084,"score_spread":0.1240422837769751,"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."}}