{"meta":{"query_hash":"ce92172962e2","filters":{"venue":"Journal of Developing Economies"},"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/ce92172962e2","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+Developing+Economies"},"results":[{"id":"W2950862769","doi":"10.20473/jde.v4i1.12686","title":"NON-TARIFF MEASURES IMPACT ON INDONESIAN FISHERY EXPORT","year":2019,"lang":"en","type":"article","venue":"Journal of Developing Economies","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Indonesian; Tariff; Technical barriers to trade; China; International trade; Business; International economics; European union; Gravity model of trade; Fishery; Panel data; Economics; Agricultural economics; Trade barrier; Geography","score_opus":0.051597307168967224,"score_gpt":0.22851789585696472,"score_spread":0.17692058868799748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950862769","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98748606,0.0010126765,0.000369018,0.00034780643,0.000020946036,0.00000935323,0.0008859942,0.000021668655,0.009846427],"genre_scores_gemma":[0.9971528,0.00044956058,0.000113068614,0.000030108631,0.000010011246,0.0000034228174,0.0005095984,0.000006523761,0.0017249623],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99958295,0.000049060123,0.000044409888,0.000061485676,0.00017100136,0.000091081376],"domain_scores_gemma":[0.9983822,0.00030562465,0.00085866975,0.00006335188,0.00027484025,0.00011529287],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042891377,0.0002696498,0.0002249442,0.00086829945,0.00021817029,0.001070358,0.00019090598,0.00016386359,0.0035357315],"category_scores_gemma":[0.0018539841,0.00008051729,0.00035307187,0.00093197904,0.0003506555,0.0007623902,0.0007179877,0.00053237594,0.0002568384],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025264936,0.00019836103,0.94256693,0.0002964364,0.0002102125,0.0009627599,0.00031277395,0.0058780736,0.0020534433,0.0038601786,0.0015068402,0.041901484],"study_design_scores_gemma":[0.0000042411098,0.000083128376,0.9916788,0.000046907415,0.000049926588,0.00015208848,0.00079778285,0.0024626954,0.00093033735,0.00050210865,0.0032817107,0.000010256407],"about_ca_topic_score_codex":0.01462585,"about_ca_topic_score_gemma":0.015386775,"teacher_disagreement_score":0.01462585,"about_ca_system_score_codex":0.0008154938,"about_ca_system_score_gemma":0.0006886852,"threshold_uncertainty_score":0.029081404},"labels":[],"label_agreement":null}]}