{"id":"W3092396186","doi":"10.1017/s1352325220000154","title":"PROCEDURAL RIGHTS AND FACTUAL ACCURACY","year":2020,"lang":"en","type":"article","venue":"Legal Theory","topic":"Law, Economics, and Judicial Systems","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Duty; Obligation; Political science; Law; Order (exchange); Law and economics; Morality; Settlement (finance); State (computer science); Politics; Business; Computer science; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002902384,0.0001206725,0.0003599305,0.00004622321,0.0001276268,0.0001288025,0.0001793693,0.00008687205,0.0004535917],"category_scores_gemma":[0.0001700033,0.0001483485,0.00007614656,0.00006807221,0.0001316538,0.0004304854,0.00006294945,0.000132059,0.001094479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003180324,"about_ca_system_score_gemma":0.00001402111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002940217,"about_ca_topic_score_gemma":0.00002175355,"domain_scores_codex":[0.9989025,0.00001977283,0.0004421636,0.000374401,0.00001849049,0.0002426935],"domain_scores_gemma":[0.9993823,0.00009009238,0.0002055845,0.000146352,0.00001073739,0.0001649059],"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":[0.00004251537,0.00001365843,0.001880637,0.00002455613,0.00003392496,0.000004068532,0.001450607,0.000003456106,0.00001417507,0.9940604,0.001898561,0.0005734724],"study_design_scores_gemma":[0.0005796368,0.00009179687,0.001796688,0.00001031606,0.000005122534,0.000008165443,0.0001612373,0.0004438329,0.0001936937,0.7129921,0.2833869,0.0003304637],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7036546,0.001880085,0.001507087,0.002727692,0.0007511061,0.0003725349,0.0001476331,0.0001336154,0.2888256],"genre_scores_gemma":[0.9958206,0.0000339938,0.0000568427,0.002589079,0.0006586482,0.0000112099,0.000007013365,0.00001967458,0.0008028734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.292166,"threshold_uncertainty_score":0.9996833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02638429220138593,"score_gpt":0.21264771308212,"score_spread":0.1862634208807341,"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."}}