{"id":"W2529753270","doi":"10.7202/1037966ar","title":"Can Better Law Be Married with Corrective Justice or Evil Laws?","year":2016,"lang":"en","type":"article","venue":"McGill Law Journal","topic":"Legal principles and applications","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Law; Economic Justice; Political science; Sociology; Law and economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0003896188,0.0001069223,0.0001329113,0.0000179487,0.00494748,0.0001143383,0.0002722028,0.00006428342,0.0008874185],"category_scores_gemma":[0.00005747995,0.00005683517,0.00005221287,0.0001412928,0.0004029117,0.0003016448,0.0000385392,0.0002039602,0.00005729135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002074159,"about_ca_system_score_gemma":0.00005231513,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.008239143,"about_ca_topic_score_gemma":0.3056009,"domain_scores_codex":[0.998796,0.0001233652,0.0001738975,0.0001715885,0.000375948,0.0003591407],"domain_scores_gemma":[0.9990511,0.0001961296,0.0001332507,0.0001454137,0.0001992005,0.0002749178],"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":[0.00006642867,0.00003724895,0.0001286665,0.000003083591,0.00003145555,0.00002849664,0.0006248961,0.000001987421,0.00008665545,0.9930236,0.001633583,0.004333945],"study_design_scores_gemma":[0.0004584668,0.00007284553,0.0001857513,0.00004375974,0.00006325114,0.00004601816,0.001153906,0.00000148013,0.0003478737,0.002235157,0.9952475,0.000144037],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01012038,0.00001385304,0.0003500514,0.05839433,0.0004051846,0.0002265702,0.0001473797,0.00006716284,0.9302751],"genre_scores_gemma":[0.9912558,0.0000370905,0.0006196507,0.003767284,0.0006202032,0.00001544972,7.453939e-7,0.00001570956,0.003668115],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9936139,"threshold_uncertainty_score":0.9983651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04167411055314016,"score_gpt":0.3097435729707871,"score_spread":0.268069462417647,"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."}}