{"id":"W7099170753","doi":"","title":"8Copyright © Canadian Academy of Oriental and Occidental Culture Other People’s Money: How CEOs Create Value for Shareholders During Good Times or Bad","year":2012,"lang":"en","type":"article","venue":"","topic":"Medical, Sociocultural, and Biopolitical Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Shareholder; Value (mathematics); Shareholder value; Government (linguistics); Corporate governance; Work (physics)","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":[],"consensus_categories":[],"category_scores_codex":[0.0006168123,0.0002846642,0.0002457132,0.0008952915,0.005998823,0.006657374,0.0005001687,0.000985802,0.1788881],"category_scores_gemma":[0.002063726,0.0001381226,0.0001761197,0.002147369,0.00252951,0.001214629,0.001183642,0.0007992465,0.01267794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01088217,"about_ca_system_score_gemma":0.02522958,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8300453,"about_ca_topic_score_gemma":0.9368215,"domain_scores_codex":[0.9994774,0.00004999624,0.00001801567,0.0000567109,0.0002244455,0.0001733807],"domain_scores_gemma":[0.9983664,0.0001745882,0.0000969941,0.00008130325,0.0008646746,0.0004161042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00006643229,0.00005102175,0.01821829,0.0002332861,0.00001581245,0.0004874578,0.0142759,0.00008402747,0.0007192828,0.05146147,0.7793329,0.135054],"study_design_scores_gemma":[0.00000564566,0.000005747334,0.0272068,0.0001363472,0.000007174096,0.00008005142,0.01474309,0.00003623763,0.00009821406,0.0008309251,0.9568365,0.00001328835],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04086838,0.004663019,0.000209886,0.03229615,0.002665607,0.00003888645,0.001647179,0.0001005532,0.9175103],"genre_scores_gemma":[0.2142346,0.006281273,0.0006774223,0.004533029,0.0003447366,0.00003237193,0.0007833902,0.0001092773,0.7730039],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8300453,"threshold_uncertainty_score":0.5984402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03139930300748937,"score_gpt":0.3158965511436037,"score_spread":0.2844972481361143,"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."}}