{"id":"W3202822179","doi":"10.5267/j.jpm.2021.8.001","title":"A new hybrid method for selecting the best project manager: TODIM-FSE and Behavioral TOPSIS","year":2021,"lang":"en","type":"article","venue":"Journal of Project Management","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"TOPSIS; Prospect theory; Context (archaeology); Decision maker; Loss aversion; Computer science; Multiple-criteria decision analysis; Process (computing); Odds; Risk-seeking; Risk analysis (engineering); Operations research; Engineering; Business; Psychology; Economics; Machine learning; Logistic regression; Social psychology; Microeconomics","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00837148,0.000251837,0.0005527765,0.0008205441,0.0003715376,0.001410825,0.0009733798,0.0000503463,0.0001179001],"category_scores_gemma":[0.001632773,0.0001551527,0.0003674287,0.001277143,0.00003395795,0.0005451801,0.0006842682,0.000295514,0.00001215752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001111807,"about_ca_system_score_gemma":0.0002664968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009185215,"about_ca_topic_score_gemma":0.00006120664,"domain_scores_codex":[0.9951941,0.0006018907,0.001429032,0.0005716454,0.001791676,0.0004116085],"domain_scores_gemma":[0.9958901,0.001518017,0.001006417,0.0006441906,0.0008327958,0.0001084491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000198413,0.0001678261,0.0007759202,0.00004362942,0.0001687756,0.0004235187,0.001392441,0.00007502391,0.0006889357,0.0007862092,0.07934871,0.9159306],"study_design_scores_gemma":[0.00353777,0.0007042214,0.00196482,0.0003235947,0.0007749879,0.001859243,0.02797957,0.007406396,0.003244705,0.01243321,0.9392077,0.0005638172],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09002259,0.001355982,0.8970578,0.003980102,0.002039136,0.002092533,0.00001751667,0.00003381673,0.003400471],"genre_scores_gemma":[0.05464133,0.0002088504,0.9267241,0.0006964075,0.0007129346,0.00005356592,0.000001838038,0.0000462904,0.01691467],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9153668,"threshold_uncertainty_score":0.9996258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2735482838049937,"score_gpt":0.5208362236672347,"score_spread":0.247287939862241,"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."}}