{"id":"W2012034435","doi":"10.1017/s175577391000007x","title":"Non-hierarchical policy coordination in multilevel systems","year":2010,"lang":"en","type":"article","venue":"European Political Science Review","topic":"Political Systems and Governance","field":"Social Sciences","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legislature; Veto; Multi-level governance; Autonomy; Member state; Power (physics); Government (linguistics); Power sharing; State (computer science); Economic system; Political science; Public administration; Public economics; European union; Economics; Business; Member states; International trade; Politics; Law; Computer science","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.007159461,0.0001536331,0.0003295063,0.000139886,0.0004306928,0.0001996539,0.0009445921,0.00005544654,0.00007025419],"category_scores_gemma":[0.008683306,0.0001250931,0.00008371791,0.001227343,0.002023529,0.0004123931,0.000156211,0.0004799022,0.0006742273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004028455,"about_ca_system_score_gemma":0.001040063,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02547541,"about_ca_topic_score_gemma":0.0005301826,"domain_scores_codex":[0.9957997,0.0004672897,0.0005419036,0.0004613739,0.0009895023,0.001740257],"domain_scores_gemma":[0.9978655,0.0002139739,0.0000979295,0.0003635981,0.0001701602,0.001288817],"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":[4.627097e-7,0.00004151962,0.0008338095,0.0001472316,6.605479e-7,0.00001278857,0.0001185554,2.413574e-7,0.0002391657,0.9927037,0.0004592832,0.005442597],"study_design_scores_gemma":[0.0002717755,0.00003261775,0.1471199,0.002139861,0.000008408085,0.00001962325,0.00007048935,0.0004825119,0.00001926499,0.004319188,0.8451302,0.0003862017],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04452702,0.001312189,0.0002061261,0.04513409,0.001106899,0.001113106,0.00002378149,0.0001096712,0.9064671],"genre_scores_gemma":[0.9940658,0.0003713139,0.0001133766,0.002143546,0.001040731,0.00001716236,9.108828e-7,0.00001372057,0.002233417],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9883845,"threshold_uncertainty_score":0.999667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02745211275214265,"score_gpt":0.3637457597306278,"score_spread":0.3362936469784851,"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."}}