{"id":"W2994052042","doi":"","title":"Institutional Preference for Firm Attributes: Evidence from India","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Predictive power; Leverage (statistics); Institutional investor; Equity (law); Market capitalization; Capitalization; Business; Financial economics; Stock (firearms); Monetary economics; Preference; Economics; Quarter (Canadian coin); Stock market; Finance; Corporate governance; Microeconomics; Geography","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":[0.0006741272,0.0001103156,0.0001681659,0.001239349,0.0003663283,0.001026888,0.0003720105,0.0002125537,0.002608103],"category_scores_gemma":[0.004538615,0.000105657,0.0002030173,0.002795735,0.000556188,0.0003336278,0.0006168096,0.0003698707,0.0003586964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003117628,"about_ca_system_score_gemma":0.0003365993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01672508,"about_ca_topic_score_gemma":0.02326046,"domain_scores_codex":[0.9995182,0.0001171495,0.00004913345,0.00008167426,0.0001161661,0.0001177822],"domain_scores_gemma":[0.9876142,0.003249525,0.006634993,0.0009245328,0.0008334714,0.0007433621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001093153,0.00004877071,0.9904504,0.00003458872,0.00006086748,0.0001922594,0.001277548,0.0000965115,0.000353941,0.0002727155,0.0002553658,0.00684769],"study_design_scores_gemma":[0.000003396975,0.00004423961,0.9970047,0.0000128307,0.00002953141,0.0001507212,0.001789371,0.00009332803,0.0001851264,0.00009165156,0.0005878121,0.00000726325],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968625,0.0001370815,0.00006749071,0.00008225773,0.000002452783,0.000003806491,0.0002050233,0.000002442417,0.002637004],"genre_scores_gemma":[0.999495,0.0001337842,0.00003268358,0.00002178548,0.000003995883,0.00000127836,0.0001538339,0.000001167353,0.0001565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01672508,"threshold_uncertainty_score":0.03325546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03792302405481592,"score_gpt":0.2227636072237095,"score_spread":0.1848405831688936,"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."}}