{"id":"W4251764200","doi":"10.3138/utlj.62.1.93","title":"Redressing the Right Wrong: The Argument from Corrective Justice","year":2012,"lang":"en","type":"article","venue":"University of Toronto Law Journal","topic":"Multicultural Socio-Legal Studies","field":"Social Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Redress; Indigenous; Injustice; Economic Justice; Politics; Argument (complex analysis); Sociology; Law; Political science","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":[0.01528435,0.0005554831,0.0007419095,0.001284266,0.01860388,0.009540365,0.002308966,0.01425326,0.002731141],"category_scores_gemma":[0.03115667,0.0004458839,0.0007729966,0.000718387,0.08260097,0.01201001,0.01011447,0.01667611,0.0003592469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01171022,"about_ca_system_score_gemma":0.01206677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02477461,"about_ca_topic_score_gemma":0.02066466,"domain_scores_codex":[0.9797283,0.01061827,0.0005531873,0.001895778,0.004145116,0.003059406],"domain_scores_gemma":[0.9820123,0.01076795,0.001632981,0.001872117,0.002379163,0.001335585],"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":[0.000009367867,0.00001331869,0.0002072376,0.00003432442,0.00000529691,0.0001884796,0.008533329,0.0001520462,0.00007733705,0.9850798,0.003841342,0.001858057],"study_design_scores_gemma":[0.00004511006,0.00003814287,0.0005155444,0.0003598092,0.00002281384,0.0003331555,0.01313187,0.0007871826,0.0006319294,0.8670402,0.1170453,0.00004893215],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04965701,0.006332709,0.0421485,0.3856353,0.002356065,0.0001555026,0.00004248858,0.0001123611,0.5135601],"genre_scores_gemma":[0.9340788,0.0008772317,0.003260454,0.04160936,0.0006439834,0.00009739874,0.00000978827,0.00007182622,0.01935112],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02477461,"threshold_uncertainty_score":0.08496404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02225849214846924,"score_gpt":0.2682911348908973,"score_spread":0.2460326427424281,"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."}}