{"id":"W2259724464","doi":"","title":"An Intimate Approach to Fairness, Impartiality and Reasonableness in Administrative Law","year":2002,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Legal principles and applications","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Impartiality; Administrative law; Objectivity (philosophy); Adversarial system; Objectification; Law; Political science; State (computer science); Politics; Context (archaeology); Sociology; Law and economics; Epistemology","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":[],"consensus_categories":[],"category_scores_codex":[0.001694166,0.00008316689,0.0001210292,0.00003454852,0.0005374409,0.0001723145,0.000233279,0.00005710222,0.00002493427],"category_scores_gemma":[0.00002678232,0.00007643797,0.00002626252,0.0002567805,0.0001268517,0.0003774177,0.00002305677,0.0005825165,0.00001151336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004126385,"about_ca_system_score_gemma":0.0004796491,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003674142,"about_ca_topic_score_gemma":0.03010103,"domain_scores_codex":[0.998132,0.0001731209,0.0001756708,0.0001947465,0.0001891506,0.001135325],"domain_scores_gemma":[0.9995703,0.00002188076,0.00006142566,0.0001142787,0.00004893075,0.0001832171],"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":[0.000008607557,0.0001372901,0.001003425,0.000001694282,0.000007132902,5.491165e-7,0.003360149,0.00002538964,0.00003848022,0.9908927,0.0000159926,0.004508564],"study_design_scores_gemma":[0.001288704,0.0005583316,0.009442944,0.00003315896,0.00004258231,0.0001248566,0.06848481,0.003038921,0.0001720528,0.831801,0.08421457,0.0007980895],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8816939,0.0006836869,0.006839176,0.005438998,0.00005275809,0.0004418266,0.000007362647,0.00005076185,0.1047915],"genre_scores_gemma":[0.9984425,0.0005744676,0.0002567732,0.0001185415,0.0001521617,0.00002272563,0.000001272251,0.000007093034,0.0004244105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1590918,"threshold_uncertainty_score":0.9875971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04083688280241292,"score_gpt":0.3394859486080021,"score_spread":0.2986490658055891,"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."}}