{"id":"W2345748993","doi":"10.7202/1037249ar","title":"Victim Pays Damages to Tortfeasor: The When and Wherefore","year":2016,"lang":"en","type":"article","venue":"McGill Law Journal","topic":"Law, Economics, and Judicial Systems","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ex-ante; Damages; Nuisance; Liability; Order (exchange); Economics; Payment; Law and economics; Ex parte; Unjust enrichment; Compensation (psychology); Tort; Actuarial science; Law; Political science; Finance","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004839874,0.0003394661,0.0006401287,0.001107509,0.004506929,0.007644745,0.001872161,0.006293125,0.00494589],"category_scores_gemma":[0.008311415,0.0003820881,0.000683069,0.0007277892,0.0171431,0.0104593,0.002295143,0.005292699,0.000638084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00548878,"about_ca_system_score_gemma":0.002959477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01242024,"about_ca_topic_score_gemma":0.01034332,"domain_scores_codex":[0.995235,0.001715733,0.0001847747,0.001004833,0.0009791087,0.0008805532],"domain_scores_gemma":[0.9969574,0.001272787,0.0007761872,0.0003098095,0.0005639778,0.0001199115],"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":[0.00003908475,0.00002433033,0.001785841,0.00004325644,0.00001395634,0.000346925,0.003364917,0.0002198198,0.0002248756,0.9867659,0.001885514,0.005285555],"study_design_scores_gemma":[0.00005708846,0.0001832432,0.008165712,0.0006497229,0.000118032,0.00152602,0.01581986,0.00240517,0.001137121,0.8558854,0.1139338,0.0001187103],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3095331,0.01616309,0.05541003,0.1886869,0.001620553,0.0001147965,0.0002419407,0.00006538843,0.4281643],"genre_scores_gemma":[0.9746147,0.002685732,0.002784417,0.006249035,0.0006423444,0.00003766622,0.00004458291,0.00001644226,0.01292509],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01242024,"threshold_uncertainty_score":0.03982407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02669648984948547,"score_gpt":0.207920273865744,"score_spread":0.1812237840162585,"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."}}