{"id":"W4377028481","doi":"10.1093/oso/9780192844569.003.0003","title":"Power Allocation in the EU","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"European Union Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Openness to experience; Representation (politics); Political science; Member states; European union; Power (physics); Foreign policy; Space (punctuation); Law and economics; Political economy; Corporate governance; International trade; Economic system; Law; Sociology; Economics; Politics; Computer science; Social psychology; Psychology","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":[0.001784006,0.0002518679,0.0002506712,0.001499969,0.002173758,0.00520583,0.0005389636,0.001316049,0.01048211],"category_scores_gemma":[0.002489991,0.0001175007,0.0002247189,0.001669609,0.007431868,0.003282686,0.002858715,0.001403859,0.0008384475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004950456,"about_ca_system_score_gemma":0.002661017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003536029,"about_ca_topic_score_gemma":0.003666157,"domain_scores_codex":[0.998211,0.0009463123,0.0000448551,0.0002224402,0.0003572621,0.0002181709],"domain_scores_gemma":[0.9995731,0.0002261145,0.00002229502,0.00005562389,0.00008636899,0.0000365657],"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":[0.000002141255,0.00000239368,0.000029115,0.000007935134,7.778326e-7,0.00001049925,0.000618426,0.0002423336,0.00003078605,0.9915359,0.001806172,0.005713567],"study_design_scores_gemma":[0.000006883263,0.00001002921,0.0003749456,0.0001630506,0.000002358941,0.0000299729,0.001559445,0.0005873617,0.0002358386,0.6908402,0.3061839,0.000005814836],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01336034,0.00569888,0.007805798,0.005870078,0.0002463972,0.00002680795,0.00003466743,0.00003223397,0.9669248],"genre_scores_gemma":[0.7928931,0.006008443,0.005166853,0.003802075,0.0003067243,0.000127146,0.0001132271,0.00006917793,0.1915133],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01048211,"threshold_uncertainty_score":0.03591818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04864140193209644,"score_gpt":0.3057041430988303,"score_spread":0.2570627411667339,"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."}}