{"id":"W2913783093","doi":"10.22230/cjnser.2018v9n2a289","title":"The competitive edge of credit unions in Costa Rica: From financial repression to the risks of a new financial environment","year":2019,"lang":"en","type":"article","venue":"Canadian journal of nonprofit and social economy research","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Université de Moncton","funders":"","keywords":"Financial repression; Welfare economics; Non profit; Political science; Financial sector; Financial system; Promotion (chess); Economy; Economics; Business; Finance; Business administration; Interest rate; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001167803,0.0001265658,0.0001390938,0.0005793756,0.002263361,0.002461184,0.0005134238,0.0005078519,0.002800802],"category_scores_gemma":[0.001851922,0.00009938086,0.0001166975,0.0007898547,0.002808916,0.0008049966,0.001929184,0.0006738504,0.000172439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005222865,"about_ca_system_score_gemma":0.003462239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08430695,"about_ca_topic_score_gemma":0.1311821,"domain_scores_codex":[0.9992183,0.000279669,0.0000224809,0.00007175127,0.0001316991,0.0002759975],"domain_scores_gemma":[0.9988596,0.0001851264,0.0004658177,0.000103919,0.000177141,0.0002083818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003985241,0.0002875242,0.5356089,0.0004322128,0.00007953811,0.003626829,0.1107712,0.002542217,0.008507553,0.1309328,0.006175712,0.2006369],"study_design_scores_gemma":[0.00003512357,0.0002101025,0.7187014,0.0005352562,0.00004855718,0.001141029,0.1092584,0.002367084,0.002156061,0.009441976,0.1560459,0.00005925659],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9571993,0.002071204,0.0006397009,0.004482612,0.0000163428,0.00002353304,0.00005487906,0.00001001801,0.03550239],"genre_scores_gemma":[0.9975283,0.0005545002,0.0001292643,0.0001642774,0.00001239789,0.000004492986,0.0000153527,0.000001421621,0.001590127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08430695,"threshold_uncertainty_score":0.1676325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08123525448044046,"score_gpt":0.3031097837415274,"score_spread":0.221874529261087,"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."}}