{"id":"W2865561302","doi":"10.22215/cjers.v1i1.2388","title":"Harmonisation through Neglect: The Federal Nature of European Employment Policy","year":2005,"lang":"en","type":"article","venue":"The Canadian Journal of European and Russian Studies","topic":"European Union Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Federalism; Competence (human resources); Cooperative federalism; Neglect; Political science; Perspective (graphical); Fiscal federalism; Public administration; Section (typography); Dual federalism; Politics; Economics; Business; Law; Management; Computer science; Decentralization","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":[0.01228546,0.0002059006,0.0005188934,0.002002403,0.006441101,0.00932978,0.001059274,0.003343436,0.002168513],"category_scores_gemma":[0.01436585,0.0002875008,0.0005386693,0.002163826,0.01703537,0.009176123,0.006897515,0.002774577,0.0001657308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008863845,"about_ca_system_score_gemma":0.01009796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009307238,"about_ca_topic_score_gemma":0.007702933,"domain_scores_codex":[0.9898596,0.005473373,0.0004710081,0.001360642,0.001339148,0.001496096],"domain_scores_gemma":[0.9963644,0.001542533,0.0005342999,0.000743378,0.0006087705,0.0002067576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.000006703578,0.000005278405,0.0002341066,0.00001229056,0.000003687673,0.00001450046,0.001132818,0.0002927256,0.00004001044,0.9933593,0.0003318082,0.004566844],"study_design_scores_gemma":[0.00001497131,0.00002275953,0.002428491,0.0002173773,0.00001406513,0.00005644136,0.002281358,0.001311288,0.0002856987,0.9341656,0.0591854,0.00001655382],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2341926,0.006863536,0.1176722,0.0606866,0.0003806857,0.0001151304,0.00006816341,0.0001574179,0.5798637],"genre_scores_gemma":[0.9907745,0.0006055248,0.002675045,0.001467821,0.00005703124,0.00005814083,0.00002094262,0.00001553322,0.004325548],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01228546,"threshold_uncertainty_score":0.06497246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04398654537615456,"score_gpt":0.3207101728744368,"score_spread":0.2767236274982823,"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."}}