{"id":"W4394395518","doi":"10.6084/m9.figshare.22674888","title":"How does politicisation affect the ratification of mixed EU trade agreements? The case of CETA","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"World Trade Organization Law","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ratification; Affect (linguistics); International trade; International economics; Business; Economics; Political science; Linguistics; Law; Politics","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":[0.003668873,0.0002559976,0.0005672605,0.003483557,0.001091951,0.003384664,0.001156662,0.00121824,0.008542226],"category_scores_gemma":[0.0227184,0.0002549631,0.0004928464,0.00921098,0.0007638122,0.002284585,0.001793488,0.001670876,0.002638839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002651233,"about_ca_system_score_gemma":0.002221291,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1490351,"about_ca_topic_score_gemma":0.1546654,"domain_scores_codex":[0.9970304,0.001244617,0.0002733362,0.0004924876,0.0005511664,0.000408031],"domain_scores_gemma":[0.9878185,0.00656327,0.002259251,0.001606448,0.001476582,0.0002759809],"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":[0.0008385493,0.0003041648,0.4047315,0.001614397,0.000333775,0.0007279186,0.003810565,0.008366075,0.0005329631,0.08644126,0.4466593,0.04563963],"study_design_scores_gemma":[0.0003115533,0.00004993784,0.3203728,0.0008284913,0.0001080054,0.0002965164,0.004886009,0.007350065,0.001132506,0.01060442,0.6539719,0.00008782814],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.2964633,0.003442594,0.001706306,0.006744091,0.0002209214,0.0001560639,0.6191171,0.0002978239,0.07185192],"genre_scores_gemma":[0.4309998,0.001630223,0.00209417,0.00108308,0.0001067422,0.000312856,0.5561122,0.0001539486,0.007506981],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8509649,"threshold_uncertainty_score":0.2963352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05618382897415189,"score_gpt":0.3158881362955106,"score_spread":0.2597043073213587,"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."}}