{"id":"W4379617603","doi":"10.1353/iur.2019.a838253","title":"ILO Standards in the European Court of Human Rights: Ognevenko V Russia","year":2019,"lang":"en","type":"article","venue":"International Union Rights","topic":"International Labor and Employment Law","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Human rights; Convention; Freedom of association; Law; Political science; Legitimacy; International human rights law; Fundamental rights; European union; Labour law; International law; Constitutional court; Margin of appreciation; Sociology; Law and economics; Constitution; Economics; Politics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009209883,0.0003345828,0.0006776235,0.0008539761,0.005071669,0.01315005,0.001795769,0.01741291,0.002617146],"category_scores_gemma":[0.01264682,0.0005545626,0.0005603109,0.001117957,0.008520132,0.003440567,0.005348761,0.0122002,0.000768133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006554517,"about_ca_system_score_gemma":0.008881377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03731165,"about_ca_topic_score_gemma":0.0309758,"domain_scores_codex":[0.9917236,0.002736901,0.0006304502,0.001288787,0.00194297,0.001677271],"domain_scores_gemma":[0.997798,0.001275158,0.0002443659,0.0002298736,0.0002760812,0.0001766595],"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":[0.00002939267,0.00001687266,0.0006924809,0.00004570138,0.000009114999,0.0005386362,0.005083886,0.00031065,0.0002267518,0.9735368,0.01462836,0.004881311],"study_design_scores_gemma":[0.00005950305,0.00004332082,0.005763772,0.0009571902,0.00003421512,0.0004693881,0.00575181,0.0005648498,0.001019028,0.1716847,0.8135354,0.0001167723],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.131567,0.01465391,0.003991727,0.07529607,0.002973461,0.0001155182,0.0002961737,0.00009233564,0.7710137],"genre_scores_gemma":[0.8455465,0.002311343,0.001715889,0.04990675,0.0006164239,0.0002140148,0.000197201,0.0001192118,0.09937266],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03731165,"threshold_uncertainty_score":0.07418895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01271022354857904,"score_gpt":0.3197333549999952,"score_spread":0.3070231314514162,"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."}}