{"id":"W2025088349","doi":"10.1007/s10997-012-9214-9","title":"What’s in a name? Decomposing corporate reputation to assess the relative impact of temporal, firm and industry level factors","year":2012,"lang":"en","type":"article","venue":"Journal of Management & Governance","topic":"Corporate Identity and Reputation","field":"Business, Management and Accounting","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University; Dalhousie University","funders":"","keywords":"Reputation; Corporate governance; Accounting; Ambiguity; Variation (astronomy); Business; Agency (philosophy); Resource dependence theory; Economics; Finance; Microeconomics; Political science; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001124524,0.0001432,0.0002373369,0.0001793194,0.00009627591,0.0003235693,0.000178832,0.00006968684,0.00002491918],"category_scores_gemma":[0.0001366914,0.0001000628,0.00009468577,0.0005919077,0.00003922869,0.005989136,0.0001459065,0.000290435,0.000005321619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001476981,"about_ca_system_score_gemma":0.00002550648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004520131,"about_ca_topic_score_gemma":0.0001298784,"domain_scores_codex":[0.9986954,0.00003416271,0.0005499409,0.0001166872,0.0004009349,0.0002028203],"domain_scores_gemma":[0.9967437,0.00006788361,0.002866971,0.0001161003,0.0001823061,0.00002301878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000119604,0.0001409227,0.9795102,0.0001263779,0.0001324924,0.00002162365,0.0004645979,0.005285848,0.0000950804,0.005855095,0.002066124,0.006182001],"study_design_scores_gemma":[0.0004386917,0.00003346755,0.9928219,0.0004983004,0.00007307989,0.000005554866,0.001039139,0.0003260241,0.00002161504,0.003458008,0.001166142,0.0001180807],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954618,0.0004540174,0.002065734,0.0007337312,0.0006713656,0.0002463977,0.000002187599,0.000005759887,0.0003590245],"genre_scores_gemma":[0.998714,0.0001397705,0.0004798544,0.0001462815,0.000235779,0.000002414742,0.000003037077,0.0000126813,0.0002662215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01331166,"threshold_uncertainty_score":0.4341979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09004202501018317,"score_gpt":0.3020165489389319,"score_spread":0.2119745239287488,"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."}}