{"id":"W2338106408","doi":"10.1177/0974910115613706","title":"Surviving Chinese Competition in a Post-Multi-Fibre Arrangement World","year":2015,"lang":"en","type":"article","venue":"Global Journal of Emerging Market Economies","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Clothing; Competition (biology); Business; China; Production (economics); Sample (material); Quality (philosophy); Textile; Face (sociological concept); Industrial organization; Investment (military); Foreign direct investment; Commerce; International trade; Economics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001784511,0.0002550833,0.0007558709,0.0004453035,0.00005476841,0.0001508343,0.0004104046,0.00007597972,0.0005117686],"category_scores_gemma":[0.0002390831,0.0002866435,0.0002469847,0.0003313967,0.00005440852,0.0008922942,0.0001024902,0.0002052703,0.000177844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008679696,"about_ca_system_score_gemma":0.00007780234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004648937,"about_ca_topic_score_gemma":0.002526983,"domain_scores_codex":[0.9976967,0.00004796735,0.001484323,0.000293842,0.0000486928,0.0004284998],"domain_scores_gemma":[0.9984018,0.00005488811,0.0009813589,0.0002264205,0.00009759428,0.0002379998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002358701,0.0001897459,0.9659582,0.00003255351,0.0001727167,0.00003646195,0.0003493033,0.003419601,0.000003188822,0.02405636,0.004747883,0.0007981025],"study_design_scores_gemma":[0.005234794,0.0002327893,0.8720551,0.0001517526,0.00002163243,0.0001560303,0.001556223,0.005589974,0.000005258462,0.05487217,0.05936626,0.0007580213],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9192797,0.003010956,0.0005998784,0.00224155,0.002189564,0.0001449439,0.0001692079,0.00002047211,0.07234375],"genre_scores_gemma":[0.9958571,0.0003291151,0.002754793,0.0003911646,0.0002788685,0.000004077861,0.00000867953,0.00001873878,0.0003574724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09390311,"threshold_uncertainty_score":0.9999586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04854095386193785,"score_gpt":0.2477536151438918,"score_spread":0.1992126612819539,"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."}}