{"id":"W7098635932","doi":"","title":"INFERRING COST OF EQUITY USING FIRM CHARACTERISTICS 1 A CANADIAN PERSPECTIVE","year":2015,"lang":"en","type":"article","venue":"","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Equity (law); Cost of equity; Sample (material); Perspective (graphical); Equity capital markets; Implicit cost","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":[0.0009286627,0.0004951447,0.000467457,0.00430251,0.001321104,0.002766655,0.0007744185,0.0005882039,0.002570042],"category_scores_gemma":[0.008095372,0.0002450471,0.0005523755,0.005837392,0.0004784705,0.001225167,0.0007129238,0.0006493878,0.0002386843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01838734,"about_ca_system_score_gemma":0.01297828,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9674178,"about_ca_topic_score_gemma":0.964555,"domain_scores_codex":[0.999121,0.00007789892,0.00003326823,0.0001594488,0.0003866247,0.0002217712],"domain_scores_gemma":[0.9952704,0.001156774,0.001166414,0.0002887795,0.001775553,0.0003421171],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001043232,0.00008450937,0.8947242,0.00009340321,0.0001709365,0.0002912579,0.0003880467,0.04640829,0.0006638416,0.01849963,0.006387366,0.03218407],"study_design_scores_gemma":[0.00002368833,0.00005732033,0.8235918,0.00008146318,0.0001594385,0.0002124986,0.001123053,0.1494956,0.001821639,0.006803119,0.01652135,0.0001090553],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9360278,0.00110034,0.01519034,0.001500344,0.00002905934,0.0001207373,0.02223127,0.0001328307,0.02366735],"genre_scores_gemma":[0.9891703,0.0003026953,0.003630636,0.00004862719,0.00001118531,0.00001125117,0.004975214,0.000009612345,0.001840596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03258222,"threshold_uncertainty_score":0.1334101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2387076441338913,"score_gpt":0.2932473980156258,"score_spread":0.05453975388173446,"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."}}