{"id":"W3124446557","doi":"10.2139/ssrn.255131","title":"Predicting Equity Liquidity","year":2001,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Market liquidity; Equity (law); Business; Economics; Financial system; Monetary economics; Financial economics; Political science","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":[0.0005107535,0.000566846,0.0003326677,0.001718718,0.0002960985,0.00122017,0.0002918853,0.0008784655,0.003826239],"category_scores_gemma":[0.004037631,0.0002597834,0.000348759,0.0007730813,0.0001502294,0.0009859035,0.0003620707,0.0005978243,0.001211627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003725569,"about_ca_system_score_gemma":0.0002727518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003383774,"about_ca_topic_score_gemma":0.004350948,"domain_scores_codex":[0.9998646,0.00003275271,0.000009340978,0.00003787934,0.00002590063,0.00002957956],"domain_scores_gemma":[0.9987656,0.0007120436,0.0001732036,0.00006470555,0.0001583572,0.0001260462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001161058,0.0005111672,0.7305039,0.00005970756,0.0001573067,0.0004902072,0.00008744869,0.1188007,0.01071216,0.001692999,0.006956042,0.1288674],"study_design_scores_gemma":[0.00003995321,0.0002236214,0.08292872,0.0000178182,0.00005200441,0.0001368836,0.00006747093,0.9080316,0.00459467,0.003138613,0.0007492103,0.00001933938],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893214,0.0004405514,0.00621979,0.0002949202,0.00003957475,0.00001986424,0.001042518,0.0003428149,0.002278645],"genre_scores_gemma":[0.9974352,0.00008131732,0.001278792,0.00001870953,0.00003600803,0.000006948713,0.0004539569,0.000006781057,0.0006822555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003826239,"threshold_uncertainty_score":0.01280004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03286329693596441,"score_gpt":0.2437379839056902,"score_spread":0.2108746869697258,"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."}}