{"id":"W3123846870","doi":"10.1017/s1474745615000063","title":"<i>Canada–Renewable Energy:</i> Implications for WTO Law on Green and Not-So-Green Subsidies","year":2015,"lang":"en","type":"article","venue":"World Trade Review","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subsidy; Tariff; Renewable energy; Tribunal; Jurisprudence; Arbitration; Government (linguistics); Investment (military); Electricity; European union; Feed-in tariff; Economics; Business; Treaty; International economics; International trade; Law; Energy policy; Market economy; Political science; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003291138,0.0001843967,0.0005876492,0.00008036701,0.0001424928,0.00004609047,0.0001927096,0.00004037207,0.00004428876],"category_scores_gemma":[0.00002724781,0.0002042177,0.0001050901,0.000170876,0.00005564563,0.0001188746,0.00004058471,0.00006421724,0.00003274155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001601417,"about_ca_system_score_gemma":0.00006378152,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4150534,"about_ca_topic_score_gemma":0.7612107,"domain_scores_codex":[0.9987392,0.00001036256,0.0005532681,0.0003628354,0.00002098393,0.0003133061],"domain_scores_gemma":[0.99906,0.0001117943,0.000244779,0.0003708104,0.00001407652,0.0001985821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001098875,0.00003080479,0.001269631,0.0009393557,0.00004822567,5.312801e-7,0.00005786618,0.000008879212,0.000001344959,0.8605233,0.1322598,0.004849264],"study_design_scores_gemma":[0.0002794027,0.00002630881,0.0008359508,0.0002048376,0.00002222358,0.000003946189,0.000004395346,0.00005775324,0.00002226203,0.02447686,0.973831,0.0002350829],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0007186949,0.5321012,0.0002284981,0.3346537,0.0004651285,0.001242343,0.005357639,0.00008943576,0.1251434],"genre_scores_gemma":[0.2673666,0.4087698,0.0009465064,0.3024424,0.001232711,0.001287691,0.0005677636,0.0001974569,0.01718914],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8415712,"threshold_uncertainty_score":0.8327755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1738962244624373,"score_gpt":0.2777504323982687,"score_spread":0.1038542079358314,"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."}}