{"id":"W4240883426","doi":"10.1002/div.5817","title":"Empire Co. Ltd.","year":2007,"lang":"en","type":"article","venue":"Mergent s Dividend Achievers","topic":"Private Equity and Venture Capital","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Empire; Real estate; Business; Portfolio; Equity (law); 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":[0.0005377439,0.00148872,0.0008242104,0.002870207,0.002092348,0.003805259,0.0009112804,0.001385965,0.7015495],"category_scores_gemma":[0.001018131,0.0007461957,0.0003795699,0.00215459,0.0006055038,0.001886163,0.001391838,0.001614861,0.5370893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001531556,"about_ca_system_score_gemma":0.002521124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01741948,"about_ca_topic_score_gemma":0.05399259,"domain_scores_codex":[0.9991097,0.00005304465,0.00004677479,0.0002236138,0.0004901696,0.00007657253],"domain_scores_gemma":[0.9986362,0.0001416452,0.00006957362,0.0002041566,0.0006677568,0.0002807022],"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":[0.0002348351,0.0001774144,0.001203902,0.0006390619,0.00001379385,0.0005191401,0.0002593946,0.0003717093,0.005239195,0.01526098,0.510462,0.4656186],"study_design_scores_gemma":[0.00001712169,0.00003283765,0.0009853377,0.0001079415,0.000005006305,0.0002101167,0.00009032046,0.0001888077,0.0006380432,0.0005695352,0.9971467,0.00000824995],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001928517,0.003582899,0.001608077,0.0009091073,0.0003982213,0.0001047641,0.005134069,0.001910976,0.9844233],"genre_scores_gemma":[0.003358602,0.0008476345,0.0009309403,0.0001102592,0.00001757657,0.00002437177,0.001774007,0.0002109065,0.9927257],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7015495,"threshold_uncertainty_score":0.4257034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02420154516368148,"score_gpt":0.2638783951826201,"score_spread":0.2396768500189387,"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."}}