{"id":"W7132906494","doi":"","title":"Improving juidicial review of administrative discretion in China: lessons from Canadian experience","year":2007,"lang":"","type":"dissertation","venue":"TSpace","topic":"Ombudsman and Human Rights","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Promulgation; China; Judicial discretion; Judicial review; Administrative discretion; Administrative law; Discretion","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008699644,0.0004448361,0.0008706559,0.0003593709,0.0006870443,0.00008246164,0.000616736,0.0005380785,0.004839848],"category_scores_gemma":[0.0002662108,0.0004538395,0.0002231666,0.0007365622,0.0005387494,0.0002782665,0.00001820013,0.0006358943,0.00004759111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006345548,"about_ca_system_score_gemma":0.003861225,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9037169,"about_ca_topic_score_gemma":0.986136,"domain_scores_codex":[0.9964066,0.0003585919,0.000907557,0.0007535185,0.0008122082,0.0007615608],"domain_scores_gemma":[0.9978706,0.0001265056,0.0009307897,0.0003540244,0.0002140481,0.0005039964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000102434,0.0001467629,0.0002892007,0.002057496,0.00003656862,0.00007401428,0.9636881,7.885828e-7,0.0003472067,0.01802311,0.0002046841,0.01502962],"study_design_scores_gemma":[0.001080104,0.0005305574,0.09401167,0.06463599,0.0004468858,0.000001628877,0.8098564,0.0001398036,0.004671005,0.002526617,0.01945653,0.002642876],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8735241,0.02044114,0.00007963859,0.001589423,0.00185665,0.001642892,0.0001043641,0.00002796745,0.1007339],"genre_scores_gemma":[0.9748384,0.01390827,0.0001155949,0.0001614259,0.0004007372,0.00003975933,0.0004449942,0.00003213822,0.01005864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1538318,"threshold_uncertainty_score":0.9997913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05485619271003188,"score_gpt":0.4540567213321183,"score_spread":0.3992005286220864,"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."}}