{"id":"W2097525846","doi":"","title":"Banking through networks of retail agents","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Business; Purchasing power; Variety (cybernetics); Work (physics); Payment; Purchasing; Finance; Natural disaster; Economics; Marketing; Geography","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":[0.00124267,0.0003474584,0.0004819586,0.000830794,0.0009057308,0.004148236,0.001100861,0.001847188,0.01421048],"category_scores_gemma":[0.008053488,0.0004595934,0.000391345,0.001361325,0.001310739,0.005889315,0.001735547,0.0009351274,0.002528466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008857163,"about_ca_system_score_gemma":0.0006404695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002579521,"about_ca_topic_score_gemma":0.001640071,"domain_scores_codex":[0.998471,0.0007369476,0.00009614386,0.0003523469,0.0001963907,0.0001471249],"domain_scores_gemma":[0.9954164,0.00232088,0.0007722325,0.0007360066,0.0005191012,0.0002353162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0005460156,0.0002668274,0.01329975,0.0002437107,0.0001555976,0.0006929407,0.001108833,0.1328971,0.002489323,0.7281514,0.01699545,0.1031532],"study_design_scores_gemma":[0.0001523289,0.0001642077,0.002009847,0.0001015938,0.00008678924,0.0004988038,0.0007394783,0.5037954,0.001317443,0.4298331,0.06124955,0.00005138827],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.237578,0.001648297,0.581194,0.006157244,0.0003008746,0.0003786277,0.0007905285,0.001699005,0.1702534],"genre_scores_gemma":[0.954046,0.0008121432,0.02282018,0.0003011703,0.00009550017,0.0001780877,0.0002014934,0.0000572419,0.0214881],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01421048,"threshold_uncertainty_score":0.04753882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02888048784571638,"score_gpt":0.2284324670506975,"score_spread":0.1995519792049812,"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."}}