{"id":"W4241621570","doi":"10.1002/div.3725","title":"Empire Co Ltd","year":2006,"lang":"en","type":"article","venue":"Mergent s Dividend Achievers","topic":"Corporate Governance and Law","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Empire; Real estate; Business; Equity (law); Portfolio; Finance; Commerce; Ancient history; History; Political science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005245756,0.001302448,0.0006609742,0.002542084,0.002463397,0.005454736,0.0009349439,0.001834395,0.7464886],"category_scores_gemma":[0.001216581,0.0006488368,0.0004390368,0.00203314,0.0006948857,0.002461053,0.001727321,0.001873927,0.591399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001997583,"about_ca_system_score_gemma":0.003105367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0132856,"about_ca_topic_score_gemma":0.03522469,"domain_scores_codex":[0.9990169,0.00006483439,0.00005851504,0.0002441049,0.0005141102,0.0001015828],"domain_scores_gemma":[0.9986261,0.0001360336,0.00007499712,0.0002393085,0.000632336,0.0002911661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000154076,0.0001287206,0.0009927331,0.0003792843,0.0000116258,0.0006314611,0.0002416404,0.0003873211,0.002843812,0.03498573,0.596739,0.3625046],"study_design_scores_gemma":[0.000007666928,0.00001799466,0.000453352,0.0000796955,0.000002236796,0.0001637788,0.00006804935,0.00009719493,0.0002737667,0.0005754009,0.9982558,0.00000491932],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001240375,0.002151618,0.001036078,0.001059842,0.0005828466,0.00006858359,0.002267783,0.0009554213,0.9906376],"genre_scores_gemma":[0.002155861,0.000587937,0.0004535377,0.0001119792,0.00002383514,0.00001389054,0.0007304925,0.0001395304,0.995783],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7464886,"threshold_uncertainty_score":0.3616033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01523227535275766,"score_gpt":0.2174412194875445,"score_spread":0.2022089441347868,"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."}}