{"id":"W2291541762","doi":"10.3138/utlj.3155","title":"An economic analysis of waiver of tort in negligence actions","year":2016,"lang":"en","type":"article","venue":"University of Toronto Law Journal","topic":"Law, Economics, and Judicial Systems","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Waiver; Plaintiff; Tort; Doctrine; Damages; Law; Context (archaeology); Law and economics; Liability; Deterrence theory; Contributory negligence; Strict liability; Political science; Business; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.003070602,0.0004774742,0.00082432,0.002203774,0.002091683,0.005385773,0.001211205,0.002926392,0.005165415],"category_scores_gemma":[0.01127985,0.000595369,0.00104914,0.001466236,0.004825106,0.004466117,0.001657391,0.003261707,0.0003149843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0133512,"about_ca_system_score_gemma":0.005920955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02472161,"about_ca_topic_score_gemma":0.0215306,"domain_scores_codex":[0.9973611,0.0009188728,0.0001073678,0.0001876447,0.0008117183,0.0006132892],"domain_scores_gemma":[0.9945325,0.003668085,0.000814967,0.0002026693,0.0004886754,0.000293132],"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":[0.00001492044,0.00002578112,0.0007184194,0.00003101024,0.00001753394,0.0001368175,0.00008316454,0.01631312,0.0001038049,0.9773179,0.00140575,0.003831784],"study_design_scores_gemma":[0.0000337803,0.00009969799,0.005445854,0.0001806909,0.0001055262,0.0002622655,0.0004602549,0.09973416,0.0003426852,0.8702618,0.0230149,0.00005840354],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2238068,0.01067287,0.1581486,0.03021337,0.0004626301,0.0004702576,0.0005979723,0.0001209854,0.5755064],"genre_scores_gemma":[0.9708943,0.002810368,0.003497398,0.0005559126,0.0002444156,0.0001114911,0.00007539269,0.00001841013,0.02179239],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02472161,"threshold_uncertainty_score":0.09687012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0226978752234672,"score_gpt":0.2114285909021253,"score_spread":0.1887307156786581,"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."}}