{"id":"W4416067365","doi":"10.1016/j.psep.2025.108142","title":"Synergistic optimization of mirror-augmented cylindrical obstacles in solar air heaters: A coupled thermal-safety analysis","year":2025,"lang":"en","type":"article","venue":"Process Safety and Environmental Protection","topic":"Heat Transfer Mechanisms","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Thermal; Heat transfer; Renewable energy; Work (physics); SAFER; Computational fluid dynamics; Optimal design; Exergy efficiency; Solar energy","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.000160061,0.0001640599,0.0002669913,0.0002365786,0.00007877872,0.00000827044,0.00006304835,0.0001270811,0.00006151138],"category_scores_gemma":[0.000007891153,0.0001715855,0.00005564282,0.0004917205,0.00005067393,0.0001631879,0.00001664188,0.0001618078,0.000001435455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001882626,"about_ca_system_score_gemma":0.00000803526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008224155,"about_ca_topic_score_gemma":0.00003612994,"domain_scores_codex":[0.9990248,0.00004321482,0.0003833774,0.000235325,0.0001361626,0.0001771052],"domain_scores_gemma":[0.9997953,0.00001954941,0.00002473949,0.0001138665,0.000005525152,0.0000410426],"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":[0.0002376131,0.00008268742,0.0005941306,0.000270115,0.0001582561,0.00000142164,0.0002677231,0.9596847,0.03693638,0.00001737628,4.213867e-8,0.001749614],"study_design_scores_gemma":[0.0007511095,0.00004915585,0.01017656,0.00007245336,0.0001579091,8.515411e-7,0.0002697474,0.9625228,0.02576692,0.0000703014,0.00001054877,0.0001516283],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2185139,0.000163426,0.7805406,0.00005735584,0.00004050538,0.0004400831,0.00002570819,0.00007186329,0.0001464982],"genre_scores_gemma":[0.9990178,0.0003137482,0.0004579703,0.00001488044,0.000004450208,0.0000811405,0.00008056408,0.00001680713,0.0000125808],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.780504,"threshold_uncertainty_score":0.6997055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005590750307910875,"score_gpt":0.1920959757431024,"score_spread":0.1865052254351915,"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."}}