{"id":"W2041879434","doi":"10.5267/j.ijiec.2013.03.006","title":"Project selection problem under uncertainty: An application of utility theory and chance constrained programming to a real case","year":2013,"lang":"en","type":"article","venue":"International Journal of Industrial Engineering Computations","topic":"Risk and Portfolio Optimization","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); Mathematical optimization; Computer science; Operations research; Expected utility hypothesis; Management science; Engineering; Artificial intelligence; Economics; Mathematical economics; Mathematics","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":[0.001744703,0.0001049718,0.0001965047,0.0006096959,0.00005896603,0.0001903018,0.0002441695,0.0000807642,0.00001593598],"category_scores_gemma":[0.0008760741,0.00008869829,0.00005561235,0.0006078027,0.00004368918,0.0005409919,0.00003489367,0.0001773826,0.000001867975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006661624,"about_ca_system_score_gemma":0.0001997247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005081901,"about_ca_topic_score_gemma":0.0000354528,"domain_scores_codex":[0.9981582,0.0001378212,0.0008270706,0.0001768697,0.0005866596,0.0001134228],"domain_scores_gemma":[0.9968538,0.0006044389,0.0005284154,0.00009209486,0.001811548,0.0001097135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007530012,0.0000700398,0.001421168,0.00000142621,0.00005653919,0.000007220581,0.0006739369,0.7419145,0.000501048,0.006221951,0.00009385881,0.248963],"study_design_scores_gemma":[0.001177198,0.0004090377,0.002973778,0.00007140318,0.00003549788,0.001245302,0.001584624,0.9811788,0.0002364404,0.009792698,0.001102146,0.0001930396],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4444965,0.000006316778,0.5545136,0.0003487698,0.0002329193,0.000338319,0.000009106097,0.00001630497,0.00003825816],"genre_scores_gemma":[0.9711333,0.000008334204,0.02851775,0.0000191681,0.0002670385,0.00002249484,0.000008407287,0.000008339757,0.00001517216],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5266368,"threshold_uncertainty_score":0.3617011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06433651472861027,"score_gpt":0.3669836832637936,"score_spread":0.3026471685351834,"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."}}