{"id":"W2317953680","doi":"","title":"Economic Interests in Canadian Tort Law","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Legal principles and applications","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Misrepresentation; Tort; Fiduciary; Law; Context (archaeology); Economic analysis; Duty; Delict; Liability; Cause of action; Law and economics; Common law; Economic law; Contributory negligence; Political science; Economics; Private law; Plaintiff; Comparative law; Black letter law; History","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":[0.001931931,0.0006327095,0.0004557499,0.00416077,0.0167531,0.00983819,0.001699337,0.003819687,0.01465352],"category_scores_gemma":[0.004375364,0.0004427518,0.0005865647,0.004986257,0.01263493,0.00296043,0.002623964,0.004133962,0.001238324],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1391264,"about_ca_system_score_gemma":0.1285629,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9784534,"about_ca_topic_score_gemma":0.9845476,"domain_scores_codex":[0.9953182,0.0003309097,0.0000703849,0.0002237869,0.002746428,0.001310224],"domain_scores_gemma":[0.9984903,0.0003165005,0.00006952421,0.00006580549,0.0008015801,0.0002562683],"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":[0.000002824404,0.000003940911,0.0001869527,0.00002614052,0.000001686471,0.00005221136,0.001309996,0.0001868287,0.00002497097,0.9363908,0.0528178,0.008995842],"study_design_scores_gemma":[0.00000441383,0.000003314951,0.001709567,0.0001804179,0.000007858791,0.0000649756,0.001143767,0.0002960751,0.00004068773,0.0742312,0.9222918,0.00002592339],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.004036939,0.01518473,0.0011613,0.03644516,0.0007563366,0.00004701339,0.0002659533,0.00004086939,0.9420617],"genre_scores_gemma":[0.3998264,0.05000585,0.004249262,0.02084345,0.0008965784,0.0001414416,0.0005424686,0.0001134385,0.5233811],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1391264,"threshold_uncertainty_score":0.9984913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009329313571650273,"score_gpt":0.2986558857940751,"score_spread":0.2893265722224249,"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."}}