{"id":"W3154178843","doi":"10.2139/ssrn.3309910","title":"Equitable Remedies for Contractual Breach","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Legal principles and applications","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Breach of contract; Business; Law; Damages; Law and economics; Political science; Economics","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":[0.02262411,0.0009343027,0.002135946,0.005051577,0.007536213,0.008647877,0.005025425,0.01987162,0.01941337],"category_scores_gemma":[0.1184887,0.001098812,0.001274598,0.001824812,0.009685293,0.009282715,0.008232395,0.0124272,0.001575417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004278818,"about_ca_system_score_gemma":0.01309681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00576171,"about_ca_topic_score_gemma":0.007413052,"domain_scores_codex":[0.9662244,0.00995753,0.002271235,0.003431325,0.01300431,0.00511108],"domain_scores_gemma":[0.9520326,0.02550328,0.004368239,0.01072177,0.00582009,0.001553968],"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":[0.00006542903,0.0001902942,0.0005854574,0.00007143018,0.00003570717,0.0001998182,0.0004769695,0.00365008,0.0002401725,0.9664375,0.005871009,0.02217619],"study_design_scores_gemma":[0.0001139111,0.00009917343,0.001252593,0.0002026256,0.00006593986,0.0002611731,0.0005203792,0.01002497,0.000390507,0.9715328,0.01549557,0.00004043471],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1302855,0.004302432,0.2190378,0.06670953,0.001752943,0.001499124,0.0003490986,0.0007011207,0.5753625],"genre_scores_gemma":[0.9447437,0.0006603331,0.01660925,0.002777272,0.0006671777,0.0004279795,0.00005253222,0.00007444925,0.03398724],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02262411,"threshold_uncertainty_score":0.1196491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02915440287301316,"score_gpt":0.340615004655117,"score_spread":0.3114606017821038,"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."}}