{"id":"W2914737984","doi":"","title":"ENTIRE AGREEMENT CLAUSES: NEITHER RIDDLE NOR ENIGMA","year":2009,"lang":"en","type":"article","venue":"The Canadian Bar Review","topic":"Legal principles and applications","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Misrepresentation; Agreement; Law; Law and economics; Res ipsa loquitur; Exclusion clause; Political science; Economics; Linguistics; Philosophy; Tort; Liability; Contract management","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":[0.01200407,0.0003766757,0.0007609233,0.001871648,0.007062835,0.01071886,0.004629727,0.007438076,0.006191608],"category_scores_gemma":[0.02411489,0.0005752641,0.0006957136,0.002586102,0.04121692,0.01855665,0.004189865,0.01146753,0.0009951276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01460793,"about_ca_system_score_gemma":0.03078845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3126006,"about_ca_topic_score_gemma":0.4092365,"domain_scores_codex":[0.986893,0.002502641,0.0005036711,0.001690243,0.006664278,0.001746246],"domain_scores_gemma":[0.985314,0.007394436,0.001103122,0.001835817,0.003831794,0.0005206701],"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":[0.000003658044,0.000002420172,0.0001343994,0.00003520063,0.000004175801,0.00004521686,0.001322143,0.00004854875,0.00003532135,0.979,0.009957939,0.009411017],"study_design_scores_gemma":[0.00001067827,0.00001082556,0.0007574888,0.0005471627,0.00002680879,0.0003115718,0.003631445,0.0003548855,0.0002338885,0.5629355,0.4311437,0.00003605825],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03048036,0.05208258,0.06856786,0.324311,0.003108283,0.0001825291,0.0004374497,0.0002219269,0.520608],"genre_scores_gemma":[0.7554459,0.03109316,0.02138644,0.09116241,0.003096601,0.0001723457,0.0003302894,0.0002315209,0.09708139],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3126006,"threshold_uncertainty_score":0.6215622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0449347226490299,"score_gpt":0.3335425616761519,"score_spread":0.2886078390271219,"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."}}