{"id":"W3142317707","doi":"","title":"How the European Court of Human Rights Gave us Enerji to Cope with Laval and Viking","year":2011,"lang":"en","type":"article","venue":"Chapters","topic":"European Union Policy and Governance","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Human rights; Law","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":[0.0003491234,0.00006317867,0.00007109222,0.00002017516,0.0003552446,0.00003678219,0.000206379,0.00001147239,0.00001514668],"category_scores_gemma":[0.00001619838,0.00003954357,0.00001685703,0.00006618485,0.0003403781,0.00008254044,0.00004072185,0.00005241575,0.000007202083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008504563,"about_ca_system_score_gemma":0.000007939138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004552811,"about_ca_topic_score_gemma":0.004762838,"domain_scores_codex":[0.9993797,0.000140945,0.00006559498,0.0001175966,0.0001516275,0.0001445154],"domain_scores_gemma":[0.9996645,0.00002095268,0.00007712392,0.000128753,0.00003253793,0.00007611819],"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":[0.00004828472,0.00004114824,0.009238875,0.00001105046,0.00004182187,0.00005306974,0.1726106,0.000001892584,0.003065365,0.8099459,0.002257104,0.002684935],"study_design_scores_gemma":[0.0006064217,0.0003840192,0.2896269,0.0001605163,0.00003201408,0.000005698879,0.004472124,0.000002188571,0.01051808,0.001183056,0.6926439,0.0003651341],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6045699,0.00001972055,0.00003486914,0.0005691373,0.0000473017,0.00007148533,0.000003137852,0.00001489937,0.3946696],"genre_scores_gemma":[0.9965924,0.00001279311,0.0000638425,0.0003733463,0.0001303417,7.544728e-7,2.271469e-7,0.000008213535,0.002818053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8087628,"threshold_uncertainty_score":0.6882519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04462103237611854,"score_gpt":0.2556249835622373,"score_spread":0.2110039511861188,"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."}}