{"id":"W2528926969","doi":"10.3138/9781442676169-006","title":"Learning Administrative Law from David Mullan: An Appreciation of Evans, Janisch, Mullan, and Risk, Administrative Law: Cases, Text, and Materials","year":2006,"lang":"en","type":"book-chapter","venue":"University of Toronto Press eBooks","topic":"Law, Economics, and Judicial Systems","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Law; Administrative law; Psychology; Sociology; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002426411,0.000542432,0.0004280442,0.002001344,0.005771536,0.006095964,0.001337259,0.003307876,0.02806584],"category_scores_gemma":[0.00780405,0.0005746363,0.0002142398,0.002835803,0.004538925,0.007780772,0.00258411,0.004375148,0.007606957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01305942,"about_ca_system_score_gemma":0.01355505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1777098,"about_ca_topic_score_gemma":0.4229961,"domain_scores_codex":[0.9973093,0.0006488287,0.00007309528,0.0001232485,0.001649596,0.0001959049],"domain_scores_gemma":[0.9956388,0.001797897,0.0001443127,0.0001300928,0.001634974,0.0006538341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003932575,0.00001297648,0.00005565459,0.00003386584,7.280127e-7,0.00006938,0.001397306,0.00004260004,0.00005290922,0.02974462,0.9453542,0.02323178],"study_design_scores_gemma":[0.000002119408,0.000002891056,0.0001837166,0.0001044484,9.017841e-7,0.00006762113,0.00102367,0.00003039077,0.00006345407,0.006916633,0.9915968,0.000007433499],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.001971159,0.07674779,0.004659873,0.3906072,0.005366613,0.00008968017,0.0003590065,0.0002653498,0.5199333],"genre_scores_gemma":[0.02785098,0.05005356,0.004495092,0.04955949,0.002752059,0.0001094556,0.0002917405,0.0003606289,0.864527],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.1777098,"threshold_uncertainty_score":0.3533508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03958749951165828,"score_gpt":0.2154918816394704,"score_spread":0.1759043821278121,"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."}}