{"id":"W4306248361","doi":"10.54691/bcpbm.v28i.2231","title":"The Association Between U.S. Technology Company's Performance and Non-employee Director's Compensation Policy","year":2022,"lang":"en","type":"article","venue":"BCP Business & Management","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Shareholder; Business; Compensation (psychology); Stock price; Revenue; Executive compensation; Stock options; Stock (firearms); Accounting; Compensation of employees; Association (psychology); Marketing; Finance; Corporate governance","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":[0.0005099344,0.0001959558,0.0002190557,0.000342859,0.001285139,0.0001999368,0.0004204343,0.00004269903,0.00002237694],"category_scores_gemma":[0.00003568785,0.0001769403,0.00003408239,0.002112409,0.00005777984,0.0005577452,0.0007523825,0.0001767219,0.00008130271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002795753,"about_ca_system_score_gemma":0.00002508959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005498966,"about_ca_topic_score_gemma":0.00007522359,"domain_scores_codex":[0.9985029,0.00001284684,0.0002888366,0.0003305364,0.0004815941,0.0003832565],"domain_scores_gemma":[0.9989472,0.00003823827,0.0005064089,0.0003293173,0.0001707142,0.000008119861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002988304,0.00003821395,0.734378,0.0001413094,0.00007038048,0.000006357321,0.0000148052,0.0005931949,0.00001544886,0.004166045,0.008012132,0.2525343],"study_design_scores_gemma":[0.000421183,0.000002090822,0.7046986,0.00001835432,0.00005061183,4.934423e-7,0.00005361063,0.0002983884,0.000002980734,0.0009910587,0.293308,0.0001546022],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863953,0.000101066,0.0000799308,0.009405031,0.0004302777,0.0005122108,0.000009298356,0.0001698923,0.00289699],"genre_scores_gemma":[0.9964563,0.000220955,0.00004266527,0.0005447186,0.0005975196,0.0001826358,0.0000436797,0.00002743179,0.001884092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2852959,"threshold_uncertainty_score":0.9884378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0104371556215565,"score_gpt":0.2041864085148343,"score_spread":0.1937492528932778,"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."}}