{"id":"W3213718261","doi":"10.1142/s0218488521500434","title":"Examine Fuzzy System to Present an Equilibrium Model for the Internal Pressure Losses of Alpha Type Stirling Engine: Comparison with ANN Model","year":2021,"lang":"en","type":"article","venue":"International Journal of Uncertainty Fuzziness and Knowledge-Based Systems","topic":"Advanced Thermodynamic Systems and Engines","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Sleep Research Society Foundation","keywords":"Stirling engine; Regenerative heat exchanger; Fuzzy logic; Engineering; Computer science; Automotive engineering; Mechanical engineering; Heat exchanger; Artificial intelligence","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":[0.0003467755,0.0006666991,0.0005000963,0.0004350206,0.000498621,0.0008256665,0.0007839238,0.0009780471,0.005423398],"category_scores_gemma":[0.0006741671,0.0003014831,0.0007460535,0.0002870921,0.0002554948,0.0005664596,0.0003277473,0.0006638631,0.0005019918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006841153,"about_ca_system_score_gemma":0.0006240262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02126757,"about_ca_topic_score_gemma":0.01282422,"domain_scores_codex":[0.9998809,0.00002591541,0.000009113533,0.00003693577,0.00002811648,0.00001905798],"domain_scores_gemma":[0.9998366,0.00007366012,0.00001759417,0.000005736954,0.00006165184,0.000004785485],"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":[0.00003144395,0.00001524727,0.000488984,0.00004823257,0.00002025571,0.00005687101,0.00003876328,0.9886552,0.001040814,0.002351927,0.0002391876,0.007013049],"study_design_scores_gemma":[0.000002468478,0.00001137461,0.000118399,0.000004395387,0.000004868076,0.000006225925,0.000005692715,0.9989918,0.0001932282,0.0004258776,0.0002334388,0.000002299214],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1087003,0.0008427351,0.8651305,0.0003372903,0.0001630428,0.0001126427,0.0003800458,0.0005801548,0.02375325],"genre_scores_gemma":[0.9664183,0.0003976149,0.01910985,0.00004171447,0.00002234892,0.0001885073,0.0002055163,0.00002734244,0.01358888],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02126757,"threshold_uncertainty_score":0.04228753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02563716540223482,"score_gpt":0.2848229000226624,"score_spread":0.2591857346204275,"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."}}