{"id":"W4236192624","doi":"10.3366/edinburgh/9780748697748.003.0008","title":"Translating Part of France’s Legal Heritage: Aubry and Rau on the Patrimoine","year":2015,"lang":"en","type":"book-chapter","venue":"Edinburgh University Press eBooks","topic":"Law in Society and Culture","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Genius; Old French; Legal translation; Style (visual arts); Civil servants; Civil law (Civil law); French; Law; Sociology; History; Political science; Humanities; Literature; Art; Public law; Politics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001587125,0.0005828334,0.0003133206,0.001631333,0.005965976,0.005520098,0.0003719781,0.001702682,0.005360435],"category_scores_gemma":[0.002840652,0.0001708637,0.0002838484,0.001219924,0.007601105,0.002596818,0.001162337,0.002364084,0.0008453735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01271578,"about_ca_system_score_gemma":0.005300534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1058089,"about_ca_topic_score_gemma":0.1084513,"domain_scores_codex":[0.9984683,0.0008688026,0.00002557664,0.0001200895,0.0003444654,0.0001727363],"domain_scores_gemma":[0.9992867,0.0004257079,0.00003987918,0.0000405745,0.0001580609,0.00004899071],"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":[0.0000330407,0.00002974913,0.0005745283,0.0001220274,0.000008952067,0.0005162273,0.1081468,0.0002896927,0.0004239636,0.7231622,0.09278061,0.07391232],"study_design_scores_gemma":[0.000005425863,0.00002586087,0.001084918,0.000236719,0.000004379606,0.0002159649,0.01178847,0.000151066,0.0003166264,0.0148397,0.9713179,0.00001290645],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06899609,0.09512123,0.004741125,0.08923531,0.004649622,0.00003525947,0.0001469562,0.0001898009,0.7368847],"genre_scores_gemma":[0.7321417,0.02639546,0.002367346,0.008180468,0.001780032,0.00003236887,0.0001042303,0.000215666,0.2287828],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1058089,"threshold_uncertainty_score":0.2103861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03780134187182502,"score_gpt":0.2377479732910092,"score_spread":0.1999466314191842,"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."}}