{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008066519,0.0005008739,0.0005257537,0.002925695,0.0009771967,0.004606213,0.001125791,0.0006916721,0.008335668],"category_scores_gemma":[0.07524379,0.0002439819,0.0004552784,0.003363993,0.0009703235,0.004564406,0.002237696,0.001280895,0.001475497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001780114,"about_ca_system_score_gemma":0.001511633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008586183,"about_ca_topic_score_gemma":0.006416041,"domain_scores_codex":[0.9908264,0.004115488,0.0004432228,0.0005253261,0.003872012,0.0002175551],"domain_scores_gemma":[0.9685332,0.01916239,0.003256038,0.004435384,0.004227329,0.0003856874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003477896,0.0002324085,0.03365754,0.0002003726,0.00007623277,0.0002264882,0.001640637,0.04093786,0.001923254,0.3660634,0.01118951,0.5435045],"study_design_scores_gemma":[0.0001388777,0.0003503646,0.04432462,0.0004398477,0.0000885417,0.0007443472,0.002860756,0.3671636,0.007346661,0.4735881,0.1027007,0.0002535849],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1889456,0.00163832,0.6524783,0.004543821,0.0006272308,0.0002838469,0.001276977,0.001963322,0.1482426],"genre_scores_gemma":[0.8826962,0.0003751667,0.109708,0.0001312539,0.0002457043,0.00009475149,0.0005667305,0.0002112298,0.005970884],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008586183,"threshold_uncertainty_score":0.04266036,"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."}}