{"id":"W4285111791","doi":"10.1007/978-3-031-07430-1_5","title":"Integration of the Bayesian Network Approach and Interval Type-2 Fuzzy Sets for Developing Sustainable Hydrogen Storage Technology in Large Metropolitan Areas","year":2022,"lang":"en","type":"book-chapter","venue":"Studies in systems, decision and control","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Metropolitan area; Interval (graph theory); Bayesian network; Computer science; Data mining; Fuzzy logic; Type (biology); Hydrogen storage; Artificial intelligence; Mathematics; Geography; Hydrogen; Physics; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001884802,0.0004407698,0.001526651,0.0006084447,0.0002776683,0.0000343893,0.0003570383,0.0003520895,0.000005589584],"category_scores_gemma":[0.000562821,0.0003220732,0.000117482,0.0003390074,0.0002018904,0.00007514819,0.0005270883,0.0003758015,4.985681e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001156086,"about_ca_system_score_gemma":0.0001313265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009865876,"about_ca_topic_score_gemma":0.002801743,"domain_scores_codex":[0.9970254,0.0002815625,0.001191298,0.0006172445,0.0003654754,0.0005189684],"domain_scores_gemma":[0.9980004,0.0005770253,0.0005721381,0.0005053134,0.0003016012,0.0000435159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002836054,0.00002404546,0.0007050798,0.0005968707,0.0005211809,0.00004260612,0.0005981612,0.00478251,0.00001244564,0.9887517,0.0007622628,0.002919532],"study_design_scores_gemma":[0.01184404,0.0007291423,0.0002347509,0.006876406,0.0004427591,0.0002946602,0.1100122,0.02667793,0.00003122732,0.2260466,0.614861,0.00194927],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.03964689,0.5645586,0.05454391,0.001303833,0.01089014,0.01796689,0.0004591313,0.0004114476,0.3102192],"genre_scores_gemma":[0.9769481,0.0008931115,0.0002792911,0.00004695662,0.0001574763,0.0004940604,0.00002422259,0.00007702477,0.02107977],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9373012,"threshold_uncertainty_score":0.9999231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02591409800217143,"score_gpt":0.2853333874135023,"score_spread":0.2594192894113309,"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."}}