{"id":"W4232458206","doi":"10.24124/2015/bpgub1027","title":"Determinants of capital structure of Nigerian non -- financial firms.","year":2015,"lang":"en","type":"dissertation","venue":"","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Strong; University of Northern British Columbia","keywords":"Market liquidity; Capital structure; Leverage (statistics); Stock exchange; Business; Dividend; Population; Finance; Financial system; Economics; Monetary economics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0004539709,0.0001145469,0.0001021079,0.0008065619,0.0005452533,0.001031601,0.0001708572,0.0002412829,0.002391658],"category_scores_gemma":[0.00223206,0.00008755333,0.00008538232,0.0007587839,0.0003744447,0.0005297362,0.0004672931,0.0002957066,0.0002552411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008275089,"about_ca_system_score_gemma":0.0006574832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00836045,"about_ca_topic_score_gemma":0.01931086,"domain_scores_codex":[0.9997455,0.00003510052,0.00002377551,0.00002749176,0.00006805796,0.0001000963],"domain_scores_gemma":[0.9963575,0.0005699089,0.002283494,0.0000925097,0.0002588454,0.0004378532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001616773,0.00005340063,0.993565,0.00001108295,0.000006312192,0.0002112624,0.0005401197,0.00007912948,0.0001849068,0.0005004536,0.000296092,0.004536044],"study_design_scores_gemma":[9.401353e-7,0.00002074172,0.9978786,0.00001327089,0.000001965916,0.00009516702,0.0008518871,0.0001229985,0.00006453911,0.0001940171,0.0007542858,0.000001617686],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961831,0.0002014272,0.00005894414,0.0002372529,0.000003124226,0.00001977159,0.0001926062,0.000001416162,0.003102429],"genre_scores_gemma":[0.9990658,0.0001010901,0.00004079909,0.00002014669,0.000003207671,0.000004019494,0.00009468512,2.84773e-7,0.0006699006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00836045,"threshold_uncertainty_score":0.01662356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008730178046025579,"score_gpt":0.226155803765991,"score_spread":0.2174256257199654,"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."}}