{"id":"W4399686210","doi":"10.5267/j.jpm.2024.5.002","title":"Project portfolio selection criteria in the oil & gas industry and a decision support tool based on fuzzy Multimoora","year":2024,"lang":"en","type":"article","venue":"Journal of Project Management","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Portfolio; Selection (genetic algorithm); Fuzzy logic; Biochemical engineering; Computer science; Business; Engineering; Artificial intelligence","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":[0.0146512,0.0008920578,0.0009134706,0.007068027,0.001576706,0.003583708,0.001143016,0.0009595708,0.002931209],"category_scores_gemma":[0.02431572,0.0004795984,0.0009745744,0.003909351,0.0009232492,0.002493276,0.002072711,0.0009334664,0.0003730776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002099408,"about_ca_system_score_gemma":0.002383637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002550082,"about_ca_topic_score_gemma":0.003620851,"domain_scores_codex":[0.9868889,0.008115843,0.001230232,0.0006745189,0.002685878,0.0004046625],"domain_scores_gemma":[0.9797203,0.01485726,0.001621423,0.0004906998,0.002596411,0.0007139102],"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":[0.001248277,0.0009264729,0.02115456,0.001598202,0.0004168954,0.0009981039,0.004072965,0.2231195,0.011719,0.05388657,0.004369186,0.6764903],"study_design_scores_gemma":[0.0001275992,0.0007743353,0.008374223,0.0004707745,0.0001527467,0.0004711282,0.003118314,0.9264185,0.008136163,0.0435728,0.008236832,0.0001465561],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2097148,0.0004391616,0.7753258,0.0007805263,0.000052691,0.001092867,0.0004474576,0.0004466058,0.01170005],"genre_scores_gemma":[0.4457793,0.0001244563,0.5522954,0.00005644617,0.00001539818,0.0005014418,0.0002323344,0.00002422839,0.0009709669],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0146512,"threshold_uncertainty_score":0.07748395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1393539174347893,"score_gpt":0.4531186464391016,"score_spread":0.3137647290043123,"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."}}