{"id":"W3036855493","doi":"","title":"ANALISIS PUTUSAN WTO DALAM PЕRKARA ANTI-DUMPING PЕNЕRAPAN DPM OLЕH AS KЕPADA KANADA","year":2020,"lang":"id","type":"article","venue":"Kumpulan Jurnal Mahasiswa Fakultas Hukum","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dumping; Margin (machine learning); Business; Political science; Chemistry; International trade; Computer science","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":[0.001233243,0.0005586998,0.0004771747,0.00271248,0.001417161,0.003930524,0.0008161504,0.0007179418,0.0305115],"category_scores_gemma":[0.003548206,0.0003055545,0.0005452231,0.003394244,0.0007990886,0.002146045,0.00130963,0.001545287,0.006351341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001275931,"about_ca_system_score_gemma":0.001505199,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01083079,"about_ca_topic_score_gemma":0.01696694,"domain_scores_codex":[0.9980058,0.0002359709,0.0001476112,0.0002249113,0.001144408,0.0002412792],"domain_scores_gemma":[0.9966216,0.000828377,0.0006673911,0.0002141009,0.001390537,0.0002780798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003390104,0.001320859,0.5469137,0.003711218,0.0004004472,0.004816656,0.01260447,0.001323222,0.0243915,0.02066853,0.03920627,0.3412531],"study_design_scores_gemma":[0.00004244354,0.001037005,0.6270884,0.001070912,0.0002934593,0.002199526,0.05581902,0.00208901,0.01744258,0.003590765,0.2891897,0.000137171],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.8588139,0.004422124,0.001864405,0.0013309,0.0003527515,0.0003129788,0.006683124,0.0001280061,0.1260918],"genre_scores_gemma":[0.8947303,0.00370636,0.00319978,0.0005870198,0.0001174027,0.0001554967,0.006338497,0.0001441618,0.0910209],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9891692,"threshold_uncertainty_score":0.1020711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06595240525824313,"score_gpt":0.2212102460441824,"score_spread":0.1552578407859393,"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."}}