{"id":"W2564509497","doi":"10.1504/ijex.2016.076863","title":"Exergy assessment of heat transfer inside a Beta type Stirling engine","year":2016,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Advanced Thermodynamic Systems and Engines","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Stirling engine; Exergy; Heat transfer; Nuclear engineering; Pressure drop; Thermodynamics; Mechanical engineering; Exergy efficiency; Environmental science; Thermal; Mechanics; Materials science; Engineering; Physics","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":[0.0002279357,0.0004661053,0.0006990177,0.0005106664,0.0003738564,0.000847924,0.0004055224,0.0006048119,0.004030854],"category_scores_gemma":[0.0004058641,0.0001977881,0.0005199009,0.0003187924,0.0004315896,0.0005566053,0.0003795846,0.0003450831,0.0004610476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004297423,"about_ca_system_score_gemma":0.0003088217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003075317,"about_ca_topic_score_gemma":0.001554599,"domain_scores_codex":[0.9999132,0.00001342766,0.000004518837,0.00001490582,0.00003611742,0.00001776619],"domain_scores_gemma":[0.999841,0.00007915941,0.00001099923,0.00001033185,0.00004007692,0.00001852683],"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":[0.002932962,0.0002064896,0.01142004,0.0003327082,0.00007507986,0.0009809389,0.0001899284,0.7610761,0.1986617,0.002440578,0.0003896822,0.02129377],"study_design_scores_gemma":[0.00005752821,0.0007862856,0.02435725,0.00001804139,0.00004714205,0.0001215795,0.0001564274,0.875257,0.09765777,0.000920138,0.0005799376,0.00004095077],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9817294,0.0001991927,0.008596956,0.00003878956,0.00001610891,0.00003460296,0.0002116355,0.0001024376,0.009070809],"genre_scores_gemma":[0.9979723,0.0000361066,0.0002710589,0.000002572374,0.000001774024,0.00000604423,0.0000626988,0.00001097275,0.001636489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004030854,"threshold_uncertainty_score":0.01348454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01089724678248272,"score_gpt":0.2259007755875913,"score_spread":0.2150035288051086,"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."}}