{"id":"W2946065876","doi":"","title":"Assessing Tort Damages in the Conflict of Laws: Loci, Fori, Illogical","year":2013,"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":"Punitive damages; Damages; Tort; Law; Jurisdiction; Plaintiff; Choice of law; Conflict of laws; Common law; Delict; Political science; Business; Law and economics; Economics; Private law; Liability; Comparative law; Black letter law","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001227559,0.00005010008,0.0001277186,0.00001311564,0.0003770373,0.0001070099,0.000498214,0.00003362684,0.0007051425],"category_scores_gemma":[0.000172447,0.00002640167,0.00004866684,0.0002367509,0.0002194337,0.0001218136,0.00001568074,0.0001157349,0.0000994033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008463312,"about_ca_system_score_gemma":0.0003544853,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4976471,"about_ca_topic_score_gemma":0.5779408,"domain_scores_codex":[0.9991722,0.0002375931,0.000163691,0.0000792652,0.0001502318,0.0001970875],"domain_scores_gemma":[0.9994302,0.0001187662,0.00005656844,0.0002388486,0.00005393019,0.0001016486],"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":[8.840966e-8,0.00001072383,0.001156781,0.0001056388,0.000005827414,0.000001780172,0.002619076,8.85505e-7,0.000006741025,0.9374143,0.02727117,0.03140698],"study_design_scores_gemma":[0.00001813168,0.000002781813,0.01425449,0.0001421769,0.000009905544,5.231547e-7,0.0008216589,0.000003275577,6.900414e-7,0.0009960314,0.983709,0.00004132956],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03517395,0.04102061,0.00001339332,0.3520917,0.00006676401,0.002438772,0.00001553008,0.00001997366,0.5691593],"genre_scores_gemma":[0.981877,0.008474072,0.00003420645,0.008944503,0.00007235407,0.00008306564,0.00000326417,0.000003611971,0.0005079167],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9564378,"threshold_uncertainty_score":0.7720816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1375191178248268,"score_gpt":0.3934746343692754,"score_spread":0.2559555165444486,"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."}}