{"id":"W2727723761","doi":"10.3138/utlj.2017-0053","title":"Warming up to inscrutability: How technology could challenge our concept of law","year":2018,"lang":"en","type":"article","venue":"University of Toronto Law Journal","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Adjudication; Legitimacy; Principle of legality; Law and economics; Political science; Coercion (linguistics); Strengths and weaknesses; Intelligibility (philosophy); Law; Deception; Legislation; Epistemology; Sociology; Environmental ethics; Politics; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007955148,0.00007966028,0.0002435775,0.00003240052,0.001282975,0.00003964991,0.0005154419,0.0002684116,0.0002613171],"category_scores_gemma":[0.0002178115,0.00009043123,0.0001020454,0.00006506737,0.001289557,0.0006878806,0.0001157756,0.0002545324,0.000003612757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003429674,"about_ca_system_score_gemma":0.0001994159,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1182939,"about_ca_topic_score_gemma":0.5124314,"domain_scores_codex":[0.9989447,0.0001383531,0.0001207975,0.0001273986,0.0003883967,0.0002803695],"domain_scores_gemma":[0.9983681,0.00005050898,0.0002017912,0.0001415333,0.001012847,0.0002252248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005050285,0.00006495641,0.0001454377,0.000008013249,0.00006252511,0.000009580878,0.1530737,8.656135e-7,0.0003774682,0.840244,0.001221314,0.0047417],"study_design_scores_gemma":[0.0006892125,0.0007857492,0.0001486064,0.00009497401,0.00004767403,0.00000324627,0.4407315,0.000003639714,0.0009837077,0.01766638,0.538641,0.0002043084],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2533503,0.0008137695,0.0006791158,0.1256525,0.001713905,0.0003547044,0.00003948354,0.00008286848,0.6173133],"genre_scores_gemma":[0.9977435,0.0002160852,0.0008463712,0.0001799126,0.0002692885,2.759399e-8,2.420113e-7,0.000004906151,0.0007395969],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8225776,"threshold_uncertainty_score":0.9867737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04416952877678625,"score_gpt":0.3271022855409079,"score_spread":0.2829327567641216,"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."}}