{"id":"W2803989616","doi":"","title":"BENEFITS OF MARKET VALUE CALCULATIONS FOR CREDIT UNIONS","year":2017,"lang":"en","type":"article","venue":"Summit (Simon Fraser University)","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Value (mathematics); Business; Economics; Actuarial science; Mathematics; Statistics","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":[0.00009621547,0.0001127388,0.0001554177,0.0001681377,0.0005454767,0.00007681115,0.0004861014,0.00006729529,0.0001099591],"category_scores_gemma":[0.0000966453,0.0001292796,0.0001101077,0.0002376543,0.00008395405,0.001245188,0.0001462489,0.00006070793,0.00002678945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000266512,"about_ca_system_score_gemma":0.00003167476,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001146214,"about_ca_topic_score_gemma":0.02358589,"domain_scores_codex":[0.9993734,0.00000396635,0.0001115784,0.00020843,0.0001231211,0.0001794987],"domain_scores_gemma":[0.9989111,0.0000343129,0.0003813319,0.000445037,0.0002150972,0.0000130503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007580363,0.00005473812,0.7861112,0.0000623517,0.0000250092,0.00000594646,0.000001327151,0.0007858599,0.000002627184,0.1217483,0.08985228,0.001274511],"study_design_scores_gemma":[0.0008258233,0.00000887596,0.3902277,0.00005637955,0.00007930375,8.209323e-10,0.0002219068,0.001352674,0.00004552264,0.0008526859,0.6061794,0.0001497231],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9192257,0.00003573884,0.002654457,0.001589951,0.0005804005,0.0003721482,0.0002548292,0.00006655906,0.07522022],"genre_scores_gemma":[0.9900463,0.00002501712,0.000191928,0.0001395449,0.0003548164,0.000001194013,0.00003493621,0.00001392162,0.009192377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5163271,"threshold_uncertainty_score":0.9942311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02285452633055629,"score_gpt":0.2115187881379026,"score_spread":0.1886642618073463,"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."}}