{"id":"W2969973031","doi":"10.5430/afr.v8n3p169","title":"Corroborate Benjamin Graham’s Approach of Valuing Equity with Special Reference to Indian Capital Market","year":2019,"lang":"en","type":"article","venue":"Accounting and Finance Research","topic":"Financial Reporting and Valuation Research","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Intrinsic value (animal ethics); Economics; Equity (law); Value (mathematics); Market value; Financial economics; Stock market; Book value; Stock (firearms); Equity value; Actuarial science; Finance; Mathematics; Law; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006774972,0.0001992453,0.0003643454,0.0006825849,0.0003948468,0.0005073487,0.0004641851,0.0001315997,0.0001623547],"category_scores_gemma":[0.001196686,0.0001722145,0.00004025692,0.001880232,0.0001920866,0.000795527,0.000747225,0.0006444962,0.0001998403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000591557,"about_ca_system_score_gemma":0.0002412795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002087394,"about_ca_topic_score_gemma":0.0001906369,"domain_scores_codex":[0.9964882,0.00005414117,0.0004469647,0.0006467205,0.001494492,0.0008695018],"domain_scores_gemma":[0.9977668,0.0001759981,0.0002848129,0.0004398484,0.001302496,0.00003004465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009982855,0.0004581434,0.7277099,0.002239622,0.00005771453,0.00007822155,0.001797598,0.0008577345,0.002813407,0.08818578,0.01254035,0.1622632],"study_design_scores_gemma":[0.002271126,0.0004807831,0.8648173,0.001193281,0.00003172066,0.00002542221,0.00568658,0.01373219,0.0005529727,0.00713139,0.102948,0.001129314],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8740796,0.00005330295,0.0000642793,0.0002291813,0.0001098592,0.0005836357,0.000005245638,0.00002999618,0.1248449],"genre_scores_gemma":[0.9955679,0.00003713939,0.0007529535,0.00008019415,0.0007886449,0.00005059829,0.00001710529,0.00002889377,0.002676583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1611339,"threshold_uncertainty_score":0.7022702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08452199442993914,"score_gpt":0.346232450693669,"score_spread":0.2617104562637299,"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."}}