{"id":"W2031110901","doi":"10.1177/1056492601102020","title":"A Modeling Methodology for Multiobjective Multistakeholder Decisions","year":2001,"lang":"en","type":"article","venue":"Journal of Management Inquiry","topic":"Corporate Social Responsibility Reporting","field":"Business, Management and Accounting","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Stakeholder; Computer science; Context (archaeology); Management science; Decision tree model; Decision tree; Decision analysis; Hierarchy; Empirical research; Knowledge management; Operations research; Artificial intelligence; Management; Mathematics; Engineering","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":[0.004136709,0.0001930651,0.0004280072,0.0007094631,0.0002423131,0.0001814414,0.0003349518,0.00008788825,0.00005556325],"category_scores_gemma":[0.003275146,0.0001755507,0.0003478797,0.000576717,0.0000630612,0.00104754,0.0002222037,0.0002060364,0.00002208579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000125932,"about_ca_system_score_gemma":0.00003839726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004953741,"about_ca_topic_score_gemma":0.00005542962,"domain_scores_codex":[0.9977916,0.0000569939,0.00108607,0.0002733161,0.0004375766,0.000354418],"domain_scores_gemma":[0.997225,0.0005003076,0.001088495,0.0002548776,0.0009036603,0.00002758893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004975949,0.001121618,0.01443257,0.0004714994,0.001281766,0.00144219,0.00200286,0.1288051,0.001408495,0.04029362,0.008006769,0.7957576],"study_design_scores_gemma":[0.01272568,0.0002910535,0.02331176,0.0008589821,0.002092871,0.0003048205,0.04640153,0.4276884,0.00009059382,0.2774109,0.207097,0.001726346],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4536175,0.00008853254,0.5421306,0.0004775078,0.001236948,0.0004630644,5.651174e-7,0.00003707499,0.001948258],"genre_scores_gemma":[0.9341165,0.00006410134,0.06156779,0.001041719,0.002535846,0.0000265168,0.000004637524,0.00004546966,0.0005973553],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7940312,"threshold_uncertainty_score":0.7158751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3471731772644288,"score_gpt":0.3883971224492251,"score_spread":0.04122394518479627,"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."}}