{"id":"W4399806168","doi":"10.32920/26064085","title":"Automatic Continuities of Law-Invariant Risk Measures","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Credit Risk and Financial Regulations","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Invariant (physics); Political science; Law; Mathematics; Mathematical physics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006742324,0.000249699,0.0008406155,0.0003132068,0.00007217903,0.0001303664,0.0003042938,0.0003284482,0.0006317452],"category_scores_gemma":[0.000206197,0.0002633806,0.0003979163,0.000121142,0.0001555275,0.00004692458,0.0005145537,0.000514675,0.0005047363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008371934,"about_ca_system_score_gemma":0.00008281368,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00741846,"about_ca_topic_score_gemma":0.001015859,"domain_scores_codex":[0.9980811,0.00001751186,0.001120865,0.000488646,0.00006531337,0.0002265174],"domain_scores_gemma":[0.9985172,0.00008804719,0.0006544245,0.0006157809,0.0000649391,0.00005965089],"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":[0.000002652975,0.00003930169,0.003837748,0.0002199684,0.0001433425,0.000002384984,0.0009462422,0.0002208186,0.000001812316,0.9880624,0.002463365,0.004059986],"study_design_scores_gemma":[0.0001519783,0.00002657115,0.02781002,0.0001547901,0.000062947,0.000001405254,0.00006077087,0.01795852,0.00007360058,0.9174999,0.03585161,0.0003478844],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4951134,0.0200571,0.01274386,0.0006223292,0.004575011,0.0007863125,0.00511612,0.0004061889,0.4605797],"genre_scores_gemma":[0.9930471,0.0009469,0.002091232,0.00001469129,0.0003076601,0.00005792175,0.00004224052,0.0000414271,0.00345081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4979337,"threshold_uncertainty_score":0.9999818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03939814340228215,"score_gpt":0.2333829948131227,"score_spread":0.1939848514108406,"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."}}