{"id":"W3192307796","doi":"","title":"Administrative Law, Artificial Intelligence, and Procedural Rights","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Education, Law, and Society","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Consistency (knowledge bases); Accountability; Government (linguistics); Human rights; Political science; Law; Law and economics; Artificial intelligence; Computer science; Sociology","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001382022,0.00009085274,0.0001174677,0.00002005221,0.001525434,0.0002024212,0.0001363881,0.00009025326,0.0001531966],"category_scores_gemma":[0.0001191436,0.00008317612,0.00007426853,0.0002302971,0.0003923714,0.000267108,0.00001351515,0.0005926119,0.000007242781],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004141345,"about_ca_system_score_gemma":0.006792325,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004633596,"about_ca_topic_score_gemma":0.1256257,"domain_scores_codex":[0.9979522,0.0002035181,0.0002077887,0.0001768747,0.0002758101,0.001183834],"domain_scores_gemma":[0.9993746,0.00008749869,0.00008850374,0.00006843395,0.0002395034,0.0001414559],"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":[0.000005134162,0.00005878064,0.0001960629,0.000001822763,0.00003583651,0.000002264772,0.01720258,4.416811e-7,0.00002209605,0.9797084,0.0001948411,0.002571738],"study_design_scores_gemma":[0.00003742334,0.00006539062,0.00005210274,0.000008388968,0.00001667968,0.00006929348,0.1321341,0.000003987826,0.0003858991,0.8400004,0.02712118,0.0001051911],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8556947,0.003817319,0.003267376,0.03104194,0.001350051,0.0002900983,0.000004420059,0.00008287201,0.1044512],"genre_scores_gemma":[0.9912519,0.002220462,0.0001776992,0.000295445,0.001050877,0.00000394011,0.000002602306,0.00000618097,0.00499086],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.139708,"threshold_uncertainty_score":0.9997745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03660066255205036,"score_gpt":0.3499464031151258,"score_spread":0.3133457405630754,"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."}}