{"id":"W7096602299","doi":"","title":"Céline Carrère* Jaime de Melo**","year":2008,"lang":"en","type":"article","venue":"","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Restrictiveness; Margin (machine learning); Rules of origin; Market access; Quarter (Canadian coin); Value (mathematics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001081236,0.0004544946,0.0003162388,0.00156916,0.001516936,0.002972125,0.0006098863,0.0007836531,0.02118186],"category_scores_gemma":[0.009403604,0.0002089909,0.0002468715,0.001756417,0.0009197368,0.002519017,0.001280532,0.001425973,0.006472406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001704542,"about_ca_system_score_gemma":0.001210848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01553885,"about_ca_topic_score_gemma":0.02454008,"domain_scores_codex":[0.9993165,0.0001486505,0.00001779354,0.0001011621,0.0003498894,0.00006607761],"domain_scores_gemma":[0.9961891,0.001706669,0.000406033,0.0002726775,0.001194283,0.0002312598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003904818,0.00007566172,0.01719496,0.0004290361,0.00003792002,0.000439319,0.0009729046,0.003939678,0.001419013,0.2987348,0.4073179,0.2690483],"study_design_scores_gemma":[0.00001313035,0.00004501867,0.01221757,0.0002542101,0.0000114937,0.0004556322,0.0007537235,0.003076089,0.001550816,0.04814157,0.9334174,0.00006338396],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04424487,0.03124322,0.03911631,0.1066374,0.005331954,0.0001501591,0.003705936,0.0005756948,0.7689945],"genre_scores_gemma":[0.5465147,0.03762538,0.04370536,0.01217929,0.002295592,0.0002226309,0.002659511,0.000575054,0.3542224],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9788181,"threshold_uncertainty_score":0.07086033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1013960218569461,"score_gpt":0.1942794771167684,"score_spread":0.09288345525982228,"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."}}