{"id":"W4288102640","doi":"","title":"Thermodynamic cycle of a self-oscillating fluidic heat engine (SOPHE) for thermal energy harvesting","year":2019,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Advanced Thermodynamics and Statistical Mechanics","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"","keywords":"Heat engine; Fluidics; Thermal energy; Thermodynamic cycle; Thermal; Energy (signal processing); Thermal management of electronic devices and systems; Energy harvesting; Heat energy; Materials science; Mechanical engineering; Mechanics; Thermodynamics; Environmental science; Physics; Engineering; Electrical engineering","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":[0.0001929736,0.0001178986,0.0003620193,0.0003322272,0.0007049573,0.0005523947,0.0003338515,0.0003331603,0.004981485],"category_scores_gemma":[0.0003112235,0.0001212057,0.0002513528,0.0001292836,0.0005823564,0.0004025393,0.0004520529,0.0002347116,0.0003831658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004367651,"about_ca_system_score_gemma":0.0004471406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008275467,"about_ca_topic_score_gemma":0.0009315525,"domain_scores_codex":[0.9999486,0.000006873583,0.000002085746,0.00001155799,0.00001938529,0.00001146903],"domain_scores_gemma":[0.9999437,0.00001496712,0.000004027133,0.000007683378,0.00001407268,0.00001552335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008994964,0.0003586511,0.01036853,0.0002534102,0.0000880131,0.001594154,0.0007062822,0.1834711,0.522334,0.2196094,0.004764535,0.0555525],"study_design_scores_gemma":[0.00004731952,0.0004296918,0.008777047,0.00001680934,0.00002273817,0.0002997081,0.0002487091,0.8611172,0.0974938,0.02416394,0.007322591,0.00006050735],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9467881,0.0002253444,0.02246941,0.0004183666,0.0001652218,0.00004648285,0.0001188356,0.0002102816,0.029558],"genre_scores_gemma":[0.9921611,0.00004042777,0.00180002,0.00002418638,0.000006985902,0.00001032954,0.00004271062,0.00002593593,0.005888313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004981485,"threshold_uncertainty_score":0.01666474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004692532493947393,"score_gpt":0.2030065683353225,"score_spread":0.1983140358413752,"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."}}