{"id":"W2965765894","doi":"10.33423/jabe.v21i4.2129","title":"An Analytical Approach to Maximizing Stakeholders’ Value in Manufacturing Firms","year":2019,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Management Theory and Practice","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Maximization; Value (mathematics); Business; Social value orientations; Process (computing); Industrial organization; Marketing; Microeconomics; Economics; Computer science; Mathematics; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001083874,0.0001671863,0.000351739,0.0004588201,0.0000643693,0.0004878506,0.0002642926,0.00006326958,0.00009020825],"category_scores_gemma":[0.00001579242,0.0001532653,0.00004154691,0.0002081983,0.0000188601,0.001837917,0.0001156887,0.0002006339,0.00005200309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003791493,"about_ca_system_score_gemma":0.0000149636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005389108,"about_ca_topic_score_gemma":0.000007024364,"domain_scores_codex":[0.9989728,0.000006837778,0.0004577308,0.000237005,0.0000882064,0.0002374186],"domain_scores_gemma":[0.9993054,0.00004453586,0.0003776538,0.0001936164,0.00004511744,0.00003365253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001716196,0.0005045964,0.00766767,0.0007012357,0.0001272658,0.00002153281,0.0003391467,0.4501882,0.0001970978,0.5066472,0.0003726268,0.03151727],"study_design_scores_gemma":[0.01032399,0.0001424275,0.2228213,0.000331474,0.0005742339,0.0001009155,0.01499653,0.2895378,0.0002913711,0.0925062,0.3657122,0.002661448],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9227433,0.00001120397,0.001140353,0.0004040369,0.0002364884,0.0001934895,5.050101e-7,0.00001041508,0.07526026],"genre_scores_gemma":[0.9964716,0.00003389065,0.001286077,0.001595842,0.0005387025,0.000002588453,0.000004099599,0.00002312826,0.00004407272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.414141,"threshold_uncertainty_score":0.6249979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04111226342935093,"score_gpt":0.220352987868775,"score_spread":0.1792407244394241,"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."}}