{"id":"W3198193544","doi":"","title":"Trends in Human Rights Damages: Courts, Statutory Tribunals and Labour Arbitration","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Legal case studies and regulations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Dignity; Adjudication; Human rights; Arbitration; Damages; Jurisdiction; Compensation (psychology); Law; Law and economics; Statutory law; Business; Political science; Economics; Psychology; Social psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00169502,0.00008313252,0.0001215082,0.0001802619,0.001934178,0.00009605385,0.00009310445,0.00006751779,0.0001243395],"category_scores_gemma":[0.00002145826,0.00006793151,0.0000423217,0.0002730234,0.0003050345,0.0002849209,0.00001510131,0.0005995554,0.000003866458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005353588,"about_ca_system_score_gemma":0.0005610848,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00294826,"about_ca_topic_score_gemma":0.2087943,"domain_scores_codex":[0.9981654,0.0001729907,0.0001954656,0.0001317179,0.0002441171,0.001090297],"domain_scores_gemma":[0.9996248,0.00002844874,0.00009503966,0.00006336838,0.0001125072,0.00007581351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001166462,0.00003432985,0.0008803863,9.303993e-7,0.00002751383,0.000003406877,0.004059972,0.000001925336,0.0001064698,0.9910722,0.0005372343,0.00326392],"study_design_scores_gemma":[0.001170233,0.0005174392,0.02455835,0.00002590499,0.00003536113,0.00003916018,0.009002062,0.00002548153,0.00004776653,0.6742709,0.2900412,0.0002661823],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9666456,0.001502183,0.0002185727,0.003180318,0.000197792,0.00007781547,0.000004160988,0.0000246563,0.02814889],"genre_scores_gemma":[0.9889831,0.0005957462,0.00002039509,0.0000587135,0.0008955589,0.000002093031,0.000003041969,0.000005673814,0.009435667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3168014,"threshold_uncertainty_score":0.9993652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01212978667268875,"score_gpt":0.3146890583346787,"score_spread":0.3025592716619899,"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."}}