{"id":"W1586054226","doi":"","title":"Optimal Assignment of Liabilities","year":2003,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Law, Economics, and Judicial Systems","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Liability; Damages; Constraint (computer-aided design); Generalization; Incentive; Strict liability; Accident (philosophy); Limited liability; Tort; Business; American rule; Economics; Actuarial science; Law and economics; Microeconomics; Engineering; Law; Finance; Political science; Mathematics","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":[0.002562498,0.0008452205,0.00127194,0.000901223,0.0007081173,0.002625362,0.001638638,0.002291978,0.01015608],"category_scores_gemma":[0.01395511,0.000625133,0.0005026076,0.0006738507,0.001503669,0.003105918,0.002079296,0.001659821,0.001083517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001830001,"about_ca_system_score_gemma":0.001480406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001120745,"about_ca_topic_score_gemma":0.0008558602,"domain_scores_codex":[0.9981021,0.0007482539,0.0001170705,0.0003467217,0.0002965502,0.0003893324],"domain_scores_gemma":[0.9968092,0.001480335,0.0004391648,0.0004562836,0.0003239489,0.0004910695],"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":[0.0002934903,0.0003122583,0.001219203,0.0001788184,0.00005402314,0.0003009411,0.0002208141,0.3384376,0.002893217,0.5885425,0.008087101,0.05945995],"study_design_scores_gemma":[0.00009487174,0.0001154424,0.0006637263,0.00005327637,0.00002132255,0.0001139796,0.0001297623,0.5326419,0.001137754,0.4602864,0.004714469,0.00002711253],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2531658,0.0009931505,0.6509736,0.00407163,0.0002634715,0.0003594292,0.0004817774,0.0004973796,0.08919376],"genre_scores_gemma":[0.9363002,0.000420467,0.04910926,0.0002716456,0.00008839435,0.0001785908,0.0001413777,0.00007687967,0.0134132],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01015608,"threshold_uncertainty_score":0.03397554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05041936219517778,"score_gpt":0.2794469809212644,"score_spread":0.2290276187260866,"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."}}