{"id":"W7041532506","doi":"","title":"9781351061537.pdf","year":2019,"lang":"en","type":"other","venue":"OAPEN (The OAPEN Foundation)","topic":"Economic and Technological Innovation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National University of Singapore; Social Sciences and Humanities Research Council of Canada; Canadian Institute for Advanced Research; National Science Foundation","keywords":"Trade barrier; World trade; Competition (biology); China; Commercial policy; Terms of trade; Free trade","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004445722,0.0003406705,0.0006078419,0.0003769436,0.0001351989,0.0002323886,0.000862257,0.0004373788,0.8421388],"category_scores_gemma":[0.00009692158,0.0003108752,0.0001656521,0.0003733323,0.0001508847,0.0001986587,0.0001935794,0.0004196899,0.9915929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001667583,"about_ca_system_score_gemma":0.00003733723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003389634,"about_ca_topic_score_gemma":0.00005122052,"domain_scores_codex":[0.9981472,0.00001747208,0.0007462293,0.0006882281,0.00005332016,0.000347473],"domain_scores_gemma":[0.9977454,0.00007039728,0.001107269,0.001005246,0.00002823036,0.00004343696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003178056,0.00003039143,0.000996871,0.00002183224,0.0001009292,7.970103e-7,0.00001026247,0.0000023666,0.000001441946,0.5218878,0.008852136,0.468092],"study_design_scores_gemma":[0.0003137116,0.00003055322,0.0007084261,0.00003063893,0.00001186648,0.000003179583,0.00001836411,0.0001339917,0.000005704705,0.05749105,0.9408613,0.0003912547],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000120099,0.00002011839,0.002032179,0.002025258,0.001347177,0.0007746051,1.305835e-7,0.0002471425,0.9934333],"genre_scores_gemma":[0.008805584,0.0002038812,0.0006021648,0.001077816,0.0004457858,0.0001119287,0.0003872554,0.0002973731,0.9880682],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9320091,"threshold_uncertainty_score":0.9999343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03624513355536762,"score_gpt":0.2197608987796046,"score_spread":0.183515765224237,"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."}}