{"id":"W2416877329","doi":"10.3138/utlj.3808","title":"Enhancing moral relationships through strict liability","year":2016,"lang":"en","type":"article","venue":"University of Toronto Law Journal","topic":"Free Will and Agency","field":"Neuroscience","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Distrust; Liability; Strict liability; Doctrine; Moral responsibility; Law and economics; Default rule; Blame; Business; Law; Political science; Sociology; Psychology; Social psychology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002737053,0.0000702688,0.0001085727,0.000009585642,0.0006202735,0.00001260205,0.0002790175,0.00004892727,0.001697117],"category_scores_gemma":[0.0002737084,0.00005420638,0.00009622343,0.00003408135,0.0001929478,0.001234118,0.00006320248,0.0001256107,0.00003020925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002328251,"about_ca_system_score_gemma":0.00003861156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003521126,"about_ca_topic_score_gemma":0.01119524,"domain_scores_codex":[0.9991032,0.0002349411,0.0001297242,0.0001534356,0.0002090734,0.000169572],"domain_scores_gemma":[0.999312,0.0002456739,0.0001389392,0.000154916,0.00005874116,0.0000896919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003868949,0.0004170396,0.02040445,0.00003438037,0.00003455002,0.0002341783,0.005704796,0.00004033785,0.5599,0.397577,0.003670637,0.0115957],"study_design_scores_gemma":[0.007205949,0.001155793,0.1433954,0.0006352739,0.0001931204,0.0005101554,0.007495601,0.0001434161,0.4169078,0.0705091,0.3504722,0.001376198],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7179391,0.000241419,0.01593884,0.001421614,0.0006721904,0.0001338577,0.00003595733,0.0000683481,0.2635487],"genre_scores_gemma":[0.996592,0.0001824523,0.001492861,0.00003171364,0.0000670781,1.569939e-8,1.133032e-7,0.000003590616,0.001630202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3468015,"threshold_uncertainty_score":0.9992155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04650170053143371,"score_gpt":0.2239992939525606,"score_spread":0.1774975934211269,"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."}}