{"id":"W4238587323","doi":"10.2139/ssrn.319445","title":"Corporate Liquidity","year":2002,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Business; Market liquidity; Financial system; Finance","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":[0.0004296899,0.0003636539,0.0002144499,0.002227898,0.0007598885,0.004343044,0.0004366606,0.0009234581,0.1112446],"category_scores_gemma":[0.002613449,0.0001460023,0.0002640988,0.001414232,0.0004121021,0.001982873,0.00101722,0.001049298,0.02672807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001007059,"about_ca_system_score_gemma":0.0007886942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001020952,"about_ca_topic_score_gemma":0.001178503,"domain_scores_codex":[0.999593,0.00003321926,0.00001793973,0.00007375063,0.0002181407,0.00006386592],"domain_scores_gemma":[0.9992034,0.0001161605,0.0001592475,0.0001098365,0.0002795155,0.0001318586],"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":[0.0002040618,0.0001072758,0.006428058,0.0002103287,0.00002937073,0.0002573281,0.0005384791,0.001364828,0.003122806,0.4177625,0.2259328,0.3440422],"study_design_scores_gemma":[0.0000579149,0.0001109342,0.0138811,0.00017211,0.00003597142,0.0005060115,0.0003882481,0.0019729,0.003397204,0.1380448,0.8413866,0.00004630029],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0161915,0.002832638,0.004225475,0.004612346,0.0003765347,0.0000489297,0.001919043,0.0005313577,0.9692621],"genre_scores_gemma":[0.3740023,0.003077661,0.002084788,0.001351243,0.0009717994,0.00009547155,0.002874738,0.0001274812,0.6154146],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1112446,"threshold_uncertainty_score":0.3721503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0266247504345745,"score_gpt":0.1938412332421397,"score_spread":0.1672164828075652,"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."}}