{"id":"W1580988057","doi":"10.5539/ijsp.v4n3p169","title":"A Multi-stages Decision Approach for Managerial Flexibility of Energy R&amp;D Project under Fuzzy Environment","year":2015,"lang":"en","type":"article","venue":"International Journal of Statistics and Probability","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Flexibility (engineering); Energy market; Environmental economics; Economics; Renewable energy; Fuzzy logic; Risk analysis (engineering); Computer science; Industrial organization; Business; Operations research; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003468051,0.001531784,0.001455316,0.001404291,0.001113364,0.002551755,0.002203267,0.001996242,0.004888564],"category_scores_gemma":[0.003187543,0.001177831,0.002381884,0.001207014,0.00133512,0.002542929,0.001351623,0.00206866,0.0002579826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00361981,"about_ca_system_score_gemma":0.002705542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01222782,"about_ca_topic_score_gemma":0.01258222,"domain_scores_codex":[0.9974827,0.00108018,0.0001111009,0.0005450629,0.0003973825,0.000383653],"domain_scores_gemma":[0.998356,0.001037204,0.0002120756,0.00004401683,0.0002047015,0.0001459665],"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":[0.0001275366,0.00009857772,0.001518967,0.0001933688,0.000115935,0.0004725359,0.0003091206,0.8838248,0.001438777,0.09605457,0.0006717477,0.01517414],"study_design_scores_gemma":[0.00001556489,0.00005789444,0.0002518543,0.00001404622,0.00003400937,0.00003232468,0.00006046329,0.9788057,0.0002200879,0.01995675,0.0005289234,0.00002218437],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04135382,0.0006324986,0.9483577,0.0006364504,0.00008275517,0.0001903159,0.0001392062,0.00008073098,0.008526484],"genre_scores_gemma":[0.8781169,0.0007268325,0.1128099,0.0001141357,0.0000940927,0.0003602626,0.0001289295,0.00003055005,0.007618349],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01222782,"threshold_uncertainty_score":0.02626365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1074193425395958,"score_gpt":0.3027615294658463,"score_spread":0.1953421869262505,"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."}}