{"id":"W2104470815","doi":"10.5267/j.msl.2014.9.021","title":"The relation between external governance environment and over-investment: Evidence from industry regulation","year":2014,"lang":"en","type":"article","venue":"Management Science Letters","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Relation (database); Corporate governance; Business; Investment (military); Industrial organization; Accounting; Finance; Computer science; Politics; Political science; Data mining","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001273007,0.0001252309,0.0002205336,0.001072199,0.000298454,0.0008776034,0.0003160254,0.0002398307,0.001239958],"category_scores_gemma":[0.00535615,0.0001074244,0.0002936373,0.00137624,0.001313571,0.0005490038,0.001025697,0.0003702288,0.00009764973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007943113,"about_ca_system_score_gemma":0.000537686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01358813,"about_ca_topic_score_gemma":0.01594895,"domain_scores_codex":[0.9989008,0.0003234238,0.00009965256,0.0002070558,0.000264138,0.0002048899],"domain_scores_gemma":[0.9842322,0.003351704,0.009538708,0.0008842769,0.001137671,0.0008555663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003226507,0.00003780795,0.9942175,0.00002115156,0.00004650719,0.0001013266,0.0006383458,0.0002530046,0.0001681614,0.0008062512,0.0001109707,0.003566774],"study_design_scores_gemma":[0.000001841401,0.00001742492,0.9985905,0.000008392338,0.00002067235,0.00002566784,0.0005178862,0.0002553367,0.0001106296,0.0001153067,0.0003339155,0.000002475188],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997532,0.0002160263,0.0001836818,0.0001364465,0.000001942482,0.000005365075,0.00005787946,0.00000296971,0.001863709],"genre_scores_gemma":[0.9996529,0.0001108309,0.00002147441,0.00001604175,0.000003502816,0.000001658954,0.00008542006,6.042499e-7,0.0001075868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01358813,"threshold_uncertainty_score":0.02701807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01626001532863724,"score_gpt":0.1992208269400972,"score_spread":0.1829608116114599,"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."}}