{"id":"W2551388180","doi":"10.1177/0969776416677622","title":"The EU-Quarter as a political place: Investigating fluid assemblages in EU policy making","year":2016,"lang":"en","type":"article","venue":"European Urban and Regional Studies","topic":"European Union Policy and Governance","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Academy of Finland","keywords":"Politics; European union; Parliament; Situated; Quarter (Canadian coin); Political science; European Neighbourhood Policy; Political economy; Context (archaeology); Economic geography; Sociology; Geography; Economics; Law; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001062643,0.0001512384,0.0001534362,0.00006056986,0.001058942,0.00009235342,0.0002540045,0.00002661068,0.000004290195],"category_scores_gemma":[0.002212615,0.00008377985,0.00005184692,0.0002064891,0.001640756,0.0001416995,0.000175123,0.0001285669,0.00009508136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001197518,"about_ca_system_score_gemma":0.0001018973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003290636,"about_ca_topic_score_gemma":0.0003941637,"domain_scores_codex":[0.9977097,0.0008973836,0.000255493,0.0002648688,0.0003206608,0.0005518839],"domain_scores_gemma":[0.9986057,0.0009487374,0.0001037678,0.0001385125,0.000062606,0.0001406869],"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":[0.00001159001,0.00001096072,0.002699011,0.00000585562,0.00002373225,0.00002821237,0.00952416,2.040122e-7,0.00007473219,0.9462759,0.04031444,0.00103122],"study_design_scores_gemma":[0.0004040059,0.00005065213,0.09862615,0.0003612598,0.00000636928,0.00000842488,0.008797838,0.000001374588,0.00001547782,0.00622419,0.8852987,0.0002055466],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1758092,0.005010719,0.000003391794,0.1781645,0.0001920822,0.000153762,0.000006498187,0.00008717289,0.6405727],"genre_scores_gemma":[0.9746202,0.002164461,0.00002315578,0.007593277,0.001249694,0.000003437038,2.519603e-7,0.00001907539,0.0143265],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9400517,"threshold_uncertainty_score":0.8144636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05881763926445596,"score_gpt":0.350125229967336,"score_spread":0.29130759070288,"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."}}