{"id":"W4409061809","doi":"10.2139/ssrn.5200216","title":"Benign Granularity in Asset Markets","year":2025,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Granularity; Asset (computer security); Business; Computer science; Computer security; Programming language","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.002399149,0.0002877863,0.001015117,0.001340985,0.001417243,0.00479142,0.0007946262,0.001713946,0.01065866],"category_scores_gemma":[0.01997869,0.0005531436,0.0005263014,0.001010666,0.003714087,0.009051782,0.002584278,0.002962552,0.001157474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00112194,"about_ca_system_score_gemma":0.0006103823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005776613,"about_ca_topic_score_gemma":0.0004094857,"domain_scores_codex":[0.9980585,0.0006246109,0.0001039132,0.000422309,0.000528135,0.0002625381],"domain_scores_gemma":[0.9875895,0.007075053,0.001153473,0.002695031,0.0005433557,0.000943596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000541638,0.00001769868,0.000528753,0.00001621343,0.000004846174,0.00005641895,0.00009057175,0.001136801,0.0004451184,0.992483,0.0008478786,0.004318463],"study_design_scores_gemma":[0.00001092589,0.000007532506,0.0002438158,0.000003524581,0.000002731881,0.0000422167,0.00002056871,0.004599776,0.0001319627,0.9942555,0.0006775927,0.000003906032],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5633754,0.00279789,0.2553028,0.009763716,0.0006836523,0.00007047049,0.0004210464,0.001266407,0.1663186],"genre_scores_gemma":[0.9878113,0.0001980475,0.00664892,0.0002058284,0.0002993958,0.00001616059,0.00004413806,0.00005945959,0.004716691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01065866,"threshold_uncertainty_score":0.03565675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008895993488303496,"score_gpt":0.2265291717436107,"score_spread":0.2176331782553072,"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."}}