{"id":"W7000662142","doi":"","title":"A frolic in the law of tort: expanding
\\nthe scope of employers' vicarious
\\nliability","year":2010,"lang":"en","type":"article","venue":"The HKU Scholars Hub (University of Hong Kong)","topic":"Discrimination and Equality Law","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vicarious liability; Scope (computer science); Liability; Supreme court; Context (archaeology); Strict liability; Connection (principal bundle); Common law","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":[0.009199108,0.0002805893,0.0004029772,0.001247846,0.005143248,0.009470309,0.001389456,0.007781942,0.002017137],"category_scores_gemma":[0.01023718,0.00056707,0.0006586416,0.0007248441,0.03424764,0.01038931,0.006510352,0.009379715,0.0003129597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005753994,"about_ca_system_score_gemma":0.005936382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008613321,"about_ca_topic_score_gemma":0.01124389,"domain_scores_codex":[0.992788,0.003649082,0.0002651381,0.0007746398,0.001829692,0.0006934703],"domain_scores_gemma":[0.9941776,0.004235602,0.0003321357,0.0005424337,0.0004759748,0.000236345],"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":[0.000002583928,0.000004383479,0.000122393,0.000007713977,6.168331e-7,0.0000783516,0.001184942,0.0001015916,0.00005521721,0.9956604,0.0008579539,0.001923876],"study_design_scores_gemma":[0.00001835609,0.00005294012,0.001428836,0.0004055079,0.00001205416,0.0003914089,0.002463571,0.002213937,0.0004103664,0.8655409,0.1270224,0.00003987793],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.08946838,0.01623485,0.06590489,0.1282511,0.001278932,0.0001543379,0.00005545087,0.00008441551,0.6985677],"genre_scores_gemma":[0.9405526,0.004074992,0.007998676,0.01260354,0.0009044337,0.000128638,0.00001489301,0.00003211662,0.03369024],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.009470309,"threshold_uncertainty_score":0.04865015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02294656041733631,"score_gpt":0.29260061939094,"score_spread":0.2696540589736037,"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."}}