{"id":"W4392553653","doi":"10.1007/978-3-031-51719-8_9","title":"Multi-Criteria Decision-Making for Optimal Selection of Hydrogen Fuel Cell Types: Evaluating Sustainability and Performance Criteria","year":2024,"lang":"en","type":"book-chapter","venue":"Studies in systems, decision and control","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Selection (genetic algorithm); Sustainability; Computer science; Operations research; Risk analysis (engineering); Business; Engineering; Machine learning; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00325178,0.001872343,0.001862777,0.001056124,0.0006534608,0.002450424,0.001749909,0.002020678,0.004866486],"category_scores_gemma":[0.003698689,0.0007230073,0.001541084,0.001414813,0.001001242,0.001534456,0.001264426,0.001624448,0.000621177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001430418,"about_ca_system_score_gemma":0.001234853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002221434,"about_ca_topic_score_gemma":0.002838339,"domain_scores_codex":[0.9982693,0.0008940038,0.00007911899,0.0001492148,0.0004943775,0.0001139128],"domain_scores_gemma":[0.9977202,0.001887127,0.00009441161,0.00003874095,0.0002147081,0.00004475769],"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":[0.0001308841,0.0001506947,0.0004323498,0.0004947181,0.0001402782,0.0001868107,0.0001572477,0.8259375,0.002442357,0.0369065,0.004099287,0.1289213],"study_design_scores_gemma":[0.00001986851,0.000131602,0.0002859815,0.0001638843,0.0000341049,0.000050336,0.00008811567,0.9497676,0.001472182,0.04495081,0.003002174,0.00003322438],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01528972,0.003199734,0.9576714,0.0007385057,0.0001876772,0.0002030755,0.0001501735,0.0001084937,0.02245123],"genre_scores_gemma":[0.3950432,0.003638528,0.5841374,0.000288582,0.0002780248,0.0007256661,0.0003058366,0.0001143327,0.01546839],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004866486,"threshold_uncertainty_score":0.01719725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02732814279531724,"score_gpt":0.3312776361986494,"score_spread":0.3039494934033321,"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."}}