{"id":"W2289354435","doi":"10.15173/glj.v6i3.2321","title":"Thrilling like a Detective Story: The European Civil Society Campaign for the Financial Transaction Tax","year":2015,"lang":"en","type":"article","venue":"Global Labour Journal","topic":"Corporate Taxation and Avoidance","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Database transaction; Political science; Business; Economics; Computer science; Database","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.006946541,0.0006798118,0.0006460442,0.001039942,0.01055747,0.0152406,0.001089916,0.02603787,0.008607577],"category_scores_gemma":[0.02144203,0.00053313,0.0005238081,0.00145808,0.009197204,0.007370848,0.005544191,0.02338664,0.001581956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00446665,"about_ca_system_score_gemma":0.004102977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02212133,"about_ca_topic_score_gemma":0.03842263,"domain_scores_codex":[0.9956166,0.001259893,0.0001359324,0.0004111661,0.001054571,0.001522018],"domain_scores_gemma":[0.9917043,0.004600768,0.0009299107,0.0003545505,0.0007028082,0.001707608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002317132,0.0001344743,0.004596426,0.0001599706,0.00005224021,0.001759581,0.02967145,0.0002345962,0.0008275374,0.1637222,0.7725237,0.02608613],"study_design_scores_gemma":[0.000036732,0.00005067064,0.01187225,0.0002633919,0.00001257868,0.0003089458,0.01621889,0.0001349033,0.0005644603,0.005715221,0.9647611,0.00006098485],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.05298554,0.009533563,0.0003411335,0.8611408,0.01139098,0.00002513175,0.0002061976,0.00006203013,0.06431462],"genre_scores_gemma":[0.4702321,0.004010739,0.0001635989,0.4274894,0.007670978,0.00003606285,0.0001616827,0.0002314091,0.09000406],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02603787,"threshold_uncertainty_score":0.04398519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02562278334690599,"score_gpt":0.2225525725826193,"score_spread":0.1969297892357133,"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."}}