{"id":"W7015670518","doi":"","title":"Tariff effects on MNC decisions to engage in intra-firm and arm's-length trade","year":2009,"lang":"en","type":"article","venue":"UTS ePRESS (University of Technology Sydney)","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tariff; Multinational corporation; Margin (machine learning); Sample (material); Commercial policy; Trade barrier; Rules of origin; Free trade","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":[0.00122418,0.000223129,0.0003226877,0.001408895,0.0009707771,0.00211792,0.0004849757,0.0005579261,0.006029631],"category_scores_gemma":[0.005825293,0.0001371337,0.0005343391,0.001789209,0.0006558344,0.0003662008,0.0008045909,0.001230313,0.000430561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005480324,"about_ca_system_score_gemma":0.001916271,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5830237,"about_ca_topic_score_gemma":0.7036634,"domain_scores_codex":[0.9990394,0.00009807293,0.00004108472,0.0001651715,0.0002435771,0.0004127414],"domain_scores_gemma":[0.9912502,0.002265926,0.004239449,0.000250495,0.0007135788,0.001280411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004514371,0.000132118,0.9851068,0.00002571893,0.0001253508,0.0001459753,0.0003474855,0.003025152,0.0009040869,0.0007706484,0.0007854644,0.008179706],"study_design_scores_gemma":[0.000008691402,0.00006113098,0.9965519,0.000009486685,0.00004046859,0.00002263146,0.0006302801,0.001448477,0.0002293165,0.0001051506,0.0008826306,0.00000993616],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961564,0.0001561929,0.00008690651,0.00007824499,0.000004280063,0.00001234552,0.0008767124,0.000005924743,0.002622918],"genre_scores_gemma":[0.9967294,0.0001132883,0.0000597747,0.00002540381,0.000005638664,0.000005697095,0.0009922588,0.00000226769,0.002066382],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5830237,"threshold_uncertainty_score":0.8388638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02327198646061964,"score_gpt":0.1883772992779725,"score_spread":0.1651053128173529,"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."}}