{"id":"W7053361893","doi":"","title":"Trump administration seeks WTO panel to resolve wine dispute with Canada","year":2018,"lang":"en","type":"other","venue":"","topic":"Magneto-Optical Properties and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Administration (probate law); Wine; Government (linguistics); Legislation; Quality (philosophy); Work (physics)","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":[0.001747493,0.0005665332,0.0005914149,0.001852102,0.01639594,0.01012793,0.001823204,0.01140096,0.1191193],"category_scores_gemma":[0.00596894,0.0006066363,0.0007312159,0.00134502,0.001925529,0.002406135,0.002202855,0.008613129,0.02903779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0245523,"about_ca_system_score_gemma":0.06292935,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7720003,"about_ca_topic_score_gemma":0.8999271,"domain_scores_codex":[0.996786,0.00007817343,0.00003720222,0.0001967994,0.001951708,0.000950112],"domain_scores_gemma":[0.996215,0.0003080109,0.00005111669,0.0001520107,0.002700587,0.0005732684],"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":[0.00005654193,0.00007324937,0.0005832143,0.00002305417,0.000005087881,0.0002852423,0.0001720552,0.00008925026,0.0005629805,0.04569928,0.9424524,0.009997644],"study_design_scores_gemma":[0.00001390031,0.000009685137,0.0009946218,0.00003219782,0.000004215202,0.00003552999,0.0003717399,0.0002074126,0.0006801016,0.002123993,0.9955097,0.00001704871],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004117702,0.0003042594,0.0004297823,0.02765508,0.001400297,0.000152371,0.001288551,0.0002695273,0.9643824],"genre_scores_gemma":[0.007194635,0.0001391939,0.0001598867,0.00545215,0.0001023652,0.00002506797,0.0002324708,0.0001243104,0.9865699],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2279997,"threshold_uncertainty_score":0.4586848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009254445949774072,"score_gpt":0.1790625139355773,"score_spread":0.1698080679858033,"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."}}