{"id":"W7038735219","doi":"","title":"Issues in credit union corporate governance : a comparative analysis of Canadian and irish credit unions","year":2005,"lang":"en","type":"other","venue":"OpenGrey (Institut de l'Information Scientifique et Technique)","topic":"Historical and Cultural Archaeology Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Corporate governance; Irish; Credit union; Credit history; Credit reference; Credit crunch","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":[0.002413479,0.0002141046,0.0003385643,0.003818847,0.0133482,0.00657114,0.001782172,0.001380925,0.008509086],"category_scores_gemma":[0.009589428,0.0002459726,0.0003012553,0.01749754,0.005043318,0.001704352,0.003038988,0.001398735,0.0003375492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1377164,"about_ca_system_score_gemma":0.1403265,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.99507,"about_ca_topic_score_gemma":0.9982613,"domain_scores_codex":[0.9966429,0.0003560646,0.00005870527,0.000157142,0.0009885821,0.001796574],"domain_scores_gemma":[0.9933409,0.001276446,0.0008798284,0.0001270743,0.002660627,0.001715041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006910855,0.0003352565,0.423849,0.0004945564,0.00007869726,0.001050319,0.2844604,0.002143405,0.0004641012,0.08237469,0.0514858,0.1525727],"study_design_scores_gemma":[0.00002350347,0.00003638848,0.6054043,0.0003123698,0.00003575494,0.00008724499,0.3209572,0.0002973959,0.0001370381,0.001261903,0.07140491,0.00004211648],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8647669,0.005644753,0.0002187848,0.009782909,0.00006590787,0.00006328518,0.0008959008,0.00001092721,0.1185506],"genre_scores_gemma":[0.9772632,0.00246436,0.0001279023,0.0004939194,0.0000166501,0.00002420624,0.0003716458,0.000009017211,0.01922918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1377164,"threshold_uncertainty_score":0.9992074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04100905195074463,"score_gpt":0.3082730664668944,"score_spread":0.2672640145161498,"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."}}