{"id":"W2264664405","doi":"10.1017/s1474745615000415","title":"<i>US – COOL (Article 21.5 – Canada and Mexico)</i>, DS384/DS386","year":2015,"lang":"en","type":"article","venue":"World Trade Review","topic":"World Trade Organization Law","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Measure (data warehouse); Compliance (psychology); Political science; Law; Computer science; Psychology; Database","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":[0.008213922,0.001068852,0.001125516,0.002629895,0.01274296,0.01155702,0.004091643,0.02443542,0.01930126],"category_scores_gemma":[0.01814851,0.001214913,0.001473563,0.003535438,0.003953574,0.002214852,0.002447428,0.01206054,0.009486412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02692129,"about_ca_system_score_gemma":0.05518984,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7729805,"about_ca_topic_score_gemma":0.8020374,"domain_scores_codex":[0.9876381,0.0008924893,0.0008427996,0.001370558,0.006422409,0.002833779],"domain_scores_gemma":[0.9886131,0.002234437,0.0007561641,0.0007038743,0.007264307,0.0004281547],"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":[0.00004571859,0.00009083992,0.0008829006,0.0001617464,0.00002228701,0.0002424904,0.0009922639,0.0001941026,0.0006698165,0.10001,0.8884183,0.008269532],"study_design_scores_gemma":[0.00003645751,0.00003931905,0.00647714,0.0003265857,0.0000381697,0.0001031955,0.0006819138,0.0002394181,0.00103896,0.003643247,0.9872825,0.00009308135],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.009266412,0.003682086,0.003535905,0.06253169,0.008254421,0.001647312,0.009539585,0.001094096,0.9004485],"genre_scores_gemma":[0.05985885,0.002941398,0.01025677,0.1965765,0.001957027,0.002233796,0.004248017,0.000487547,0.7214401],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2270195,"threshold_uncertainty_score":0.4567129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0249484803587367,"score_gpt":0.2773930130732434,"score_spread":0.2524445327145067,"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."}}