{"id":"W2980627251","doi":"","title":"Manufacturing discontent: The rise to power of anti-TTIP groups","year":2016,"lang":"en","type":"article","venue":"Econstor (Econstor)","topic":"European and International Law Studies","field":"Social Sciences","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Rosa Luxemburg Stiftung; European Commission","keywords":"Power (physics); Political science; Business; International trade","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":[0.01110656,0.000408428,0.0003467182,0.002691098,0.01467366,0.01392077,0.001555646,0.00485211,0.008700339],"category_scores_gemma":[0.02252931,0.0004487592,0.0003359278,0.002234389,0.03413801,0.007523754,0.01099429,0.006956014,0.001071571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005298376,"about_ca_system_score_gemma":0.00226757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005829155,"about_ca_topic_score_gemma":0.004260534,"domain_scores_codex":[0.9885015,0.00543662,0.0002422172,0.00149649,0.002332535,0.001990648],"domain_scores_gemma":[0.9780237,0.01437885,0.002814231,0.00166876,0.001197473,0.001917005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007666214,0.00003737957,0.009615384,0.0001145358,0.0000292419,0.001304301,0.5321299,0.00009336729,0.001002291,0.3738861,0.02899709,0.05271367],"study_design_scores_gemma":[0.00003271153,0.00007920122,0.01226071,0.0003872372,0.00002702283,0.0009371243,0.314886,0.0004496933,0.001199546,0.07163151,0.5980316,0.00007764962],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5137525,0.006428045,0.005307291,0.1148429,0.00196395,0.00005098355,0.00009567533,0.0001348317,0.3574239],"genre_scores_gemma":[0.9798305,0.0004746152,0.0002564455,0.008164209,0.0002875652,0.00001625108,0.0000211967,0.00003864393,0.01091062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01467366,"threshold_uncertainty_score":0.05873781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02018442721634568,"score_gpt":0.2604350619255741,"score_spread":0.2402506347092285,"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."}}