{"id":"W2953717970","doi":"10.17323/2499-9415-2018-4-16-11-18","title":"Multi-level Negotiations on Digital Trade Policy","year":2018,"lang":"en","type":"article","venue":"Trade policy","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Negotiation; International trade; International economics; Business; Computer science; Economics; Political science; Law","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":[0.01710722,0.0005269987,0.0005007999,0.001825563,0.00557837,0.01460295,0.001413279,0.01045853,0.01312178],"category_scores_gemma":[0.01630603,0.0004324024,0.000979753,0.002706757,0.004895072,0.009177961,0.0103974,0.008501977,0.001076409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01062638,"about_ca_system_score_gemma":0.007597732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00419526,"about_ca_topic_score_gemma":0.00432646,"domain_scores_codex":[0.9899962,0.004108447,0.0006012265,0.0009910943,0.002513735,0.001789282],"domain_scores_gemma":[0.9908728,0.006149547,0.0005430557,0.000825715,0.0008471305,0.0007617812],"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":[0.00003321889,0.0000300711,0.0003088625,0.00005390919,0.000009717494,0.0001601051,0.001338182,0.001302802,0.0003992973,0.9830867,0.005911998,0.007365183],"study_design_scores_gemma":[0.00004405446,0.00004368228,0.001691704,0.0005202032,0.00001951701,0.0001581302,0.003507039,0.004790836,0.001321159,0.5366725,0.4511697,0.0000614115],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1023882,0.009053234,0.05123319,0.1749269,0.002920554,0.0003893701,0.000690851,0.0001545863,0.6582432],"genre_scores_gemma":[0.869931,0.001969079,0.01103938,0.02269153,0.000755751,0.00033456,0.0002245022,0.00007111078,0.09298304],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01710722,"threshold_uncertainty_score":0.0904727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1567616761445341,"score_gpt":0.2794288480063287,"score_spread":0.1226671718617947,"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."}}