{"id":"W2767004359","doi":"10.2308/accr-51946","title":"Influential Chief Marketing Officers and Management Revenue Forecasts","year":2017,"lang":"en","type":"article","venue":"The Accounting Review","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Revenue; Business; Revenue management; Sample (material); Voluntary disclosure; Marketing; Officer; Chief executive officer; Accounting; Finance; Economics; Management","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003452324,0.0001050334,0.0001737693,0.001463598,0.0003926349,0.001564494,0.0003840683,0.0004145016,0.004108948],"category_scores_gemma":[0.04532873,0.0001047944,0.00009079495,0.001858022,0.000376793,0.0006672664,0.0007165321,0.0006631532,0.0006049446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005577852,"about_ca_system_score_gemma":0.0008038259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003779806,"about_ca_topic_score_gemma":0.006123129,"domain_scores_codex":[0.9972156,0.0009989883,0.0002229357,0.0002317388,0.0009137755,0.000416933],"domain_scores_gemma":[0.8393221,0.03978357,0.1098787,0.002249559,0.003998543,0.004767468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007359407,0.00008007698,0.9761588,0.00003637158,0.00003407546,0.0001745353,0.0004536138,0.0005082845,0.0001202761,0.001030007,0.003702242,0.01762814],"study_design_scores_gemma":[0.00001201116,0.0000644951,0.990244,0.00006098569,0.00002346886,0.0001618092,0.001207779,0.001669868,0.0003345951,0.0008277794,0.00537893,0.00001440416],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873987,0.0006838646,0.0004029767,0.00212793,0.00005980285,0.00001660865,0.000624214,0.00001588102,0.008669929],"genre_scores_gemma":[0.998952,0.000129221,0.00006032703,0.00004398737,0.00007539448,0.000002426049,0.0001386016,0.000001671585,0.0005963546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004108948,"threshold_uncertainty_score":0.01825792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01224882955320605,"score_gpt":0.2382541078184835,"score_spread":0.2260052782652774,"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."}}