{"id":"W2883207131","doi":"","title":"CONTRIBUTION D’UN JURILINGUISTE À LA DISTINCTION ENTRE PRÉJUDICE ET DOMMAGE","year":2017,"lang":"fr","type":"article","venue":"The Canadian Bar Review","topic":"linguistics and terminology studies","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legislator; Mistake; Damages; Law; Meaning (existential); Political science; French; Doctrine; Civil code; Prejudice (legal term); Order (exchange); Civil law (Civil law); Law and economics; Legislation; Philosophy; Sociology; Humanities; Public law; Business; Epistemology","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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001046595,0.0002339864,0.0004188259,0.00003129814,0.005234369,0.0005763746,0.0004533705,0.0001019705,0.00156591],"category_scores_gemma":[0.002539745,0.0001816817,0.0001662538,0.0000157174,0.001371208,0.00007841124,0.0001028738,0.0003760472,0.0005944186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001818016,"about_ca_system_score_gemma":0.0003490562,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1993448,"about_ca_topic_score_gemma":0.6549162,"domain_scores_codex":[0.9985245,0.000307873,0.0003391889,0.0002425139,0.0001273696,0.0004585385],"domain_scores_gemma":[0.9981254,0.0001718039,0.0003502166,0.0007271162,0.0004215483,0.0002039398],"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":[0.000002624366,0.00001437261,0.0001520936,0.000670451,0.0001418249,0.0001298118,0.0008637311,6.309112e-8,6.773953e-8,0.9501746,0.03496578,0.01288457],"study_design_scores_gemma":[0.0002097747,0.00002676724,0.002517538,0.002793709,0.000750358,0.00003509439,0.0000499761,0.000009141246,0.000001137972,0.01012324,0.9832726,0.0002107424],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0002417238,0.3580366,0.000002174263,0.1486111,0.003397807,0.000523535,0.0005723476,0.00002016302,0.4885946],"genre_scores_gemma":[0.7666206,0.1909639,0.00001093891,0.00621832,0.002685885,0.00004598165,0.00008232137,0.00003076273,0.03334131],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9483067,"threshold_uncertainty_score":0.9993468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03238804068731366,"score_gpt":0.2845306900818884,"score_spread":0.2521426493945748,"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."}}