{"id":"W92754663","doi":"","title":"American markets: Strong 3rd quarter for China in US apparel imports","year":2011,"lang":"en","type":"article","venue":"Textile Asia","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); China; Clothing; Business; Commerce; International trade; Political science; History; Archaeology","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":[0.001001068,0.0003439101,0.0004385046,0.001779899,0.002430189,0.005725247,0.0004295959,0.001203206,0.01441986],"category_scores_gemma":[0.002272649,0.000217481,0.0006251361,0.002316844,0.00130384,0.002295969,0.001895706,0.001637254,0.0008826484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00248379,"about_ca_system_score_gemma":0.003182729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05998321,"about_ca_topic_score_gemma":0.1266281,"domain_scores_codex":[0.999642,0.00002364356,0.00001425051,0.00005153887,0.00008296542,0.0001855807],"domain_scores_gemma":[0.9975955,0.0002993367,0.0007888998,0.0001234766,0.0005507866,0.0006420034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001466791,0.0002474398,0.760665,0.00023395,0.0001432711,0.001821799,0.004141662,0.001194013,0.002225647,0.08173256,0.09113476,0.05499312],"study_design_scores_gemma":[0.00003558783,0.00006878324,0.9507745,0.0001057158,0.0001062694,0.0001275717,0.006966121,0.001912566,0.0009571988,0.005191124,0.0337102,0.00004440129],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9335194,0.002372452,0.0002797238,0.01270148,0.0003107184,0.00001951191,0.001476098,0.00006610451,0.04925445],"genre_scores_gemma":[0.9901496,0.0004861414,0.00005513861,0.0008499001,0.0001178899,0.00000551733,0.0005510688,0.00002945508,0.007755218],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05998321,"threshold_uncertainty_score":0.1192681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04748436910498618,"score_gpt":0.2148621675202005,"score_spread":0.1673777984152144,"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."}}