{"id":"W4362589933","doi":"10.1080/13501763.2023.2194323","title":"United we stood, divided we transform? Exploring coalition transformation divergence in the EU trade policy field","year":2023,"lang":"en","type":"article","venue":"Journal of European Public Policy","topic":"Political Influence and Corporate Strategies","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fonds De La Recherche Scientifique - FNRS","keywords":"Negotiation; Divergence (linguistics); Politics; Ideology; Political science; Civil society; Order (exchange); Opportunity structures; Political economy; Sociology; Economics","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":[0.02781727,0.0004061421,0.0008594414,0.004239053,0.01553195,0.02221634,0.00244189,0.003240742,0.003686409],"category_scores_gemma":[0.04207158,0.0004988684,0.0004053529,0.004341242,0.02588475,0.01435766,0.01912634,0.004639987,0.0002871625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01175002,"about_ca_system_score_gemma":0.009026987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01300424,"about_ca_topic_score_gemma":0.01189643,"domain_scores_codex":[0.9740816,0.0185465,0.0007255176,0.001575208,0.001661095,0.003410093],"domain_scores_gemma":[0.972379,0.02028212,0.002300457,0.001051959,0.001677971,0.002308446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007485005,0.00006208708,0.008928791,0.00008128817,0.00001743202,0.0002995073,0.9141534,0.0001153347,0.0002375499,0.06228083,0.0005923834,0.01315647],"study_design_scores_gemma":[0.000009887404,0.00001878704,0.005973506,0.000115721,0.000004871638,0.00007361467,0.9668525,0.0001963223,0.0001160276,0.0124964,0.01412896,0.00001335043],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9316844,0.001250706,0.002940973,0.008790093,0.0001142196,0.00007953234,0.0000374222,0.00001157323,0.05509103],"genre_scores_gemma":[0.9983293,0.000194745,0.000242336,0.0003402436,0.00001033222,0.0000310165,0.00002237937,0.00001253367,0.0008170734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02781727,"threshold_uncertainty_score":0.1471135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1385347569760256,"score_gpt":0.2953264105785269,"score_spread":0.1567916536025013,"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."}}