{"id":"W2047259479","doi":"10.1177/002795011021100107","title":"China and World Trade","year":2010,"lang":"en","type":"article","venue":"National Institute Economic Review","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Economics; Mainland China; Quarter (Canadian coin); International trade; International economics; Stimulus (psychology); Economy; Geography","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":[0.0004430976,0.0004531064,0.0003077128,0.001718235,0.0008841774,0.002264396,0.0002828298,0.0005792378,0.04937914],"category_scores_gemma":[0.0006494667,0.00007870523,0.0002214899,0.005559853,0.0006834724,0.001422036,0.0008957892,0.0005775206,0.00578079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002118659,"about_ca_system_score_gemma":0.004338217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02066383,"about_ca_topic_score_gemma":0.02129398,"domain_scores_codex":[0.9997455,0.00003348894,0.0000129038,0.00005647144,0.00009741882,0.00005424046],"domain_scores_gemma":[0.9997775,0.00002020198,0.00004055608,0.00003465163,0.00008024172,0.00004690212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001088816,0.00003386472,0.0243319,0.0009198167,0.00009615489,0.0006860346,0.00102186,0.0007744935,0.0005861502,0.2347635,0.3048756,0.4318018],"study_design_scores_gemma":[0.000009276083,0.00002159137,0.02797241,0.0001901474,0.00001770404,0.0001940174,0.0003669441,0.0002230306,0.00009515011,0.01276658,0.958133,0.00001004514],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03727168,0.05440127,0.0008302008,0.01483561,0.002294196,0.00009713785,0.006199739,0.0002209223,0.8838493],"genre_scores_gemma":[0.4045563,0.07373288,0.001768244,0.006950662,0.001627873,0.000260149,0.009584548,0.00009776479,0.5014216],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04937914,"threshold_uncertainty_score":0.1651897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07417784226794129,"score_gpt":0.2641531620645518,"score_spread":0.1899753197966105,"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."}}