{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003066236,0.000180732,0.0002647277,0.00009458009,0.000400757,0.00006174197,0.0007641486,0.0006052006,0.00001093576],"category_scores_gemma":[0.00004163012,0.0002271275,0.000140845,0.00002760778,0.0005706642,0.00008420768,0.0002766886,0.0008740971,0.00002369642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007148649,"about_ca_system_score_gemma":0.001226398,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01087054,"about_ca_topic_score_gemma":0.002897863,"domain_scores_codex":[0.9986899,0.00009414876,0.0001587478,0.00043787,0.0002925084,0.0003268345],"domain_scores_gemma":[0.9989235,0.0001086197,0.0001275654,0.0005175636,0.0001241962,0.0001985988],"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":[0.00001047874,0.00002246049,0.00004645765,0.00001960005,0.00001151332,0.00003274117,0.0005385718,6.266861e-7,0.000009945101,0.9585151,0.04004766,0.0007448458],"study_design_scores_gemma":[0.0001783499,0.000006727328,0.0003117434,0.00002487334,0.00003523051,3.352747e-7,0.0001219849,0.000005345801,0.00001260408,0.00004717538,0.9990143,0.0002413628],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001306156,0.00002243591,0.00003539453,0.0001146095,0.0002139727,0.0006082546,0.0001414819,0.0001181006,0.9974396],"genre_scores_gemma":[0.004478086,0.00004432891,0.00007395045,0.00005627386,0.0002762504,0.000002760765,0.0000301617,0.00001681611,0.9950213],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9589666,"threshold_uncertainty_score":0.9957162,"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."}}