{"id":"W3124854746","doi":"10.3386/w18321","title":"The Cost of Financial Frictions for Life Insurers","year":2012,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Finance; Business; Economics; Actuarial science","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":[0.002065914,0.000289325,0.0006965937,0.0007909848,0.000754065,0.003374432,0.0006557976,0.001180262,0.0105785],"category_scores_gemma":[0.0194078,0.0005021349,0.000476929,0.000804199,0.00144197,0.002313835,0.001598729,0.001646428,0.0004682633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002902185,"about_ca_system_score_gemma":0.0009793754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00637114,"about_ca_topic_score_gemma":0.003923875,"domain_scores_codex":[0.9990331,0.0002362129,0.00007677754,0.0001710583,0.0002279113,0.0002548914],"domain_scores_gemma":[0.9913817,0.003898985,0.002814681,0.001054087,0.0003054375,0.0005450937],"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":[0.001288298,0.0007112436,0.3182923,0.0002915135,0.0003845236,0.002329173,0.001806086,0.1883356,0.004409596,0.3485209,0.01409115,0.1195396],"study_design_scores_gemma":[0.000199369,0.0004221236,0.5179137,0.0001657987,0.0002315403,0.001447579,0.002156477,0.2037616,0.001768599,0.2570099,0.01472616,0.0001972079],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9684532,0.001341715,0.007399586,0.003808108,0.00006746349,0.00003445783,0.0008532564,0.0001418153,0.01790038],"genre_scores_gemma":[0.9981875,0.0001741398,0.0003260369,0.00005860982,0.00002725906,0.000004081467,0.00009622204,0.000008047856,0.001118002],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0105785,"threshold_uncertainty_score":0.03538865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3381336925230044,"score_gpt":0.4437027279337845,"score_spread":0.1055690354107801,"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."}}