{"id":"W4394807700","doi":"10.3390/su16083287","title":"Application of Multi-Criteria Decision-Making (MCDM) to Select the Most Sustainable Power-Generating Technology","year":2024,"lang":"en","type":"article","venue":"Sustainability","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sustainability; Multiple-criteria decision analysis; Ranking (information retrieval); Social sustainability; Environmental economics; Harm; Management science; Sustainable development; Decision analysis; Computer science; Risk analysis (engineering); Business; Engineering; Operations research; Economics; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01288122,0.0004205859,0.0006917011,0.001590439,0.0006073458,0.001157939,0.002530189,0.0002967718,0.0004130338],"category_scores_gemma":[0.08199707,0.0002834675,0.0002568906,0.009320302,0.0004183719,0.0006391769,0.001691478,0.0005280161,0.0001252316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00114436,"about_ca_system_score_gemma":0.001096159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001235701,"about_ca_topic_score_gemma":0.0000700667,"domain_scores_codex":[0.9926816,0.0006437659,0.002014999,0.001765713,0.001848039,0.001045914],"domain_scores_gemma":[0.983247,0.006797212,0.0003693298,0.00309512,0.006309743,0.0001815635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002393773,0.000272205,0.009968483,0.0002183746,0.00004728963,0.0001527892,0.005531705,0.007704527,0.00981321,0.04663178,0.005580973,0.9138393],"study_design_scores_gemma":[0.0005109211,0.000300895,0.008569663,0.000172556,0.00004192267,0.000089375,0.02791954,0.3664714,0.002709595,0.4631549,0.1292749,0.0007842818],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4707354,0.0005572522,0.522963,0.003073906,0.0004582147,0.001767559,0.0000221403,0.0002510783,0.0001714181],"genre_scores_gemma":[0.9692644,0.000001802044,0.02938716,0.0002342954,0.00009825638,0.0002814086,0.000002257656,0.00005198952,0.0006784088],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.913055,"threshold_uncertainty_score":0.9999617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03187131561495048,"score_gpt":0.4246345541351696,"score_spread":0.3927632385202191,"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."}}