{"meta":{"query_hash":"46c269b964cd","filters":{"venue":"Journal of African Trade"},"cohort_total":1,"direct_labels_cover":0,"predictions_cover":1,"exported":1,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/46c269b964cd","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+African+Trade"},"results":[{"id":"W2027784944","doi":"10.1016/j.joat.2014.08.001","title":"On the accuracy of trade and GDP statistics in Africa: Errors of commission and omission","year":2014,"lang":"en","type":"article","venue":"Journal of African Trade","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Commission; Quarter (Canadian coin); Official statistics; Statistics; Economics; Quality (philosophy); Data quality; International trade; International economics; Geography; Economy; Mathematics; Finance","score_opus":0.05308496950876075,"score_gpt":0.22673078733536567,"score_spread":0.17364581782660493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027784944","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13988048,0.1723525,0.23030098,0.20204243,0.08223859,0.001497776,0.05502959,0.0029572933,0.11370032],"genre_scores_gemma":[0.7567038,0.077729225,0.104960114,0.022111876,0.011126314,0.0011453469,0.013438763,0.0013942866,0.011390319],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.68913704,0.13339351,0.072115354,0.016391365,0.08608096,0.0028818601],"domain_scores_gemma":[0.18072686,0.5040801,0.11171119,0.057716403,0.14380734,0.0019581872],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.19846362,0.0014061627,0.0024530513,0.017124671,0.0025495517,0.009764216,0.0037178863,0.0032052516,0.0032318253],"category_scores_gemma":[0.6934737,0.0010812706,0.0010240659,0.0465818,0.008942158,0.0068639503,0.004830077,0.004243781,0.0041780737],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004766523,0.00011739206,0.11387521,0.006489349,0.0015392292,0.0013950433,0.015797451,0.008610546,0.0008258319,0.114918746,0.34210864,0.39384586],"study_design_scores_gemma":[0.00013557663,0.00017229198,0.16394618,0.031303268,0.000890235,0.0017073215,0.0115971025,0.021147134,0.0063413884,0.19493008,0.56714535,0.00068406604],"about_ca_topic_score_codex":0.02580224,"about_ca_topic_score_gemma":0.016490743,"teacher_disagreement_score":0.19846362,"about_ca_system_score_codex":0.006421768,"about_ca_system_score_gemma":0.009147528,"threshold_uncertainty_score":0.98843706},"labels":[],"label_agreement":null}]}