{"id":"W4248006959","doi":"10.1017/cbo9780511779008","title":"Vicarious Liability in Tort","year":2010,"lang":"en","type":"book","venue":"Cambridge University Press eBooks","topic":"Legal principles and applications","field":"Social Sciences","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vicarious liability; Tort; Strict liability; Liability; Delict; Legal liability; Law; Joint and several liability; Compensation (psychology); Political science; Civil law (Civil law); Meaning (existential); Law and economics; Business; Sociology; Comparative law; Private law; Public law; Black letter law; Psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001445599,0.00054007,0.0003571058,0.001390927,0.002005752,0.003246429,0.0008263946,0.002731589,0.004061673],"category_scores_gemma":[0.002660046,0.0002786222,0.0003615127,0.001450465,0.01528572,0.004687581,0.002352024,0.003645159,0.001327517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004946467,"about_ca_system_score_gemma":0.003070869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002765517,"about_ca_topic_score_gemma":0.002895485,"domain_scores_codex":[0.9986293,0.0005192204,0.00004703857,0.0001636915,0.0005234144,0.000117336],"domain_scores_gemma":[0.9992666,0.0003805118,0.0000609937,0.00009777134,0.0001247132,0.0000694413],"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":[7.802313e-7,0.000002973339,0.00002838813,0.00001271253,6.738636e-7,0.00001732303,0.0004458367,0.0001485786,0.00001882376,0.9910788,0.00389291,0.00435209],"study_design_scores_gemma":[0.000001964453,0.000008083492,0.0001938512,0.0001156286,0.000001765547,0.0001247134,0.0002192276,0.0003299496,0.00004036992,0.8540286,0.1449309,0.000004936483],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005807779,0.05732409,0.02354451,0.01742387,0.000617764,0.00005867067,0.0000586799,0.00006729628,0.8950973],"genre_scores_gemma":[0.5149454,0.06045883,0.01524235,0.008032668,0.001708913,0.000245278,0.0001621609,0.0001269278,0.3990774],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.004946467,"threshold_uncertainty_score":0.03588933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01938234972451122,"score_gpt":0.2461958185591556,"score_spread":0.2268134688346443,"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."}}