{"id":"W3123928056","doi":"","title":"Protecting Individual Self-Interest in Aggregate as the Basis of Fairness in Contract","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Legal principles and applications","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Enforcement; Unconscionability; Law and economics; Mistake; Excuse; Premise; Frustration of purpose; Business; Exclusion clause; Order (exchange); Contract management; Economics; Law; Privity of contract; Political science; Finance","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":[0.0283152,0.0005999063,0.001702977,0.001237237,0.006159953,0.01158944,0.002937208,0.007200769,0.00331704],"category_scores_gemma":[0.03578662,0.0006053446,0.001434013,0.001245109,0.02735659,0.01004385,0.008569286,0.008096651,0.0007395433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006958093,"about_ca_system_score_gemma":0.01185133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007754047,"about_ca_topic_score_gemma":0.007130359,"domain_scores_codex":[0.9738884,0.009345877,0.0014953,0.004270917,0.008238187,0.002761278],"domain_scores_gemma":[0.9811001,0.007152911,0.002178481,0.006034043,0.002480586,0.001053902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000009550235,0.000009856493,0.0003344149,0.00001023446,0.00001059275,0.00003352417,0.0008183396,0.001064763,0.000143432,0.9946831,0.0002533857,0.002628836],"study_design_scores_gemma":[0.00001281459,0.00002161437,0.0004480941,0.00004316309,0.00001715281,0.00003438253,0.000193914,0.002659976,0.0001999982,0.9891757,0.007173834,0.00001921549],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1084157,0.00180269,0.3929286,0.03076391,0.0005051981,0.000451163,0.0001475209,0.0002895122,0.4646957],"genre_scores_gemma":[0.9509522,0.0004659763,0.03470345,0.002043289,0.0003012453,0.0002887893,0.00003791532,0.00007182394,0.01113539],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0283152,"threshold_uncertainty_score":0.1497469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03851352461494153,"score_gpt":0.3301190831894587,"score_spread":0.2916055585745172,"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."}}