{"id":"W3010506460","doi":"10.1615/ichmt.2004.intthermscisemin.360","title":"New Laser Based Method for Non-Intrusive Measurement of Available Energy Loss and Local Entropy Generation","year":2004,"lang":"en","type":"article","venue":"","topic":"Refrigeration and Air Conditioning Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Memorial University of Newfoundland","funders":"","keywords":"Particle image velocimetry; Dissipation; Turbomachinery; Mechanics; Entropy (arrow of time); Entropy production; Thermal; Ranging; Thermal energy; Materials science; Computer science; Environmental science; Physics; Statistical physics; Meteorology; Thermodynamics; Turbulence","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":[],"consensus_categories":[],"category_scores_codex":[0.00008979657,0.00008178809,0.0001055304,0.00006418055,0.00003662078,0.00002189318,0.00004195625,0.00006147383,0.0001263553],"category_scores_gemma":[0.00002074151,0.00007306667,0.00002854644,0.00006224689,0.00001669559,0.00007085241,0.000007233672,0.00002838785,0.000004564693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006903437,"about_ca_system_score_gemma":0.00004902161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006977034,"about_ca_topic_score_gemma":0.0001002841,"domain_scores_codex":[0.9995424,0.00000573487,0.000140639,0.0001061506,0.0001075865,0.00009748146],"domain_scores_gemma":[0.9997482,0.00001413363,0.00002165847,0.0001027804,0.00008198537,0.00003122501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001783659,0.00002922667,0.00002285476,0.00006252484,0.0000756299,0.00000162818,0.00004495451,0.53719,0.346671,0.05515233,0.03441531,0.02631673],"study_design_scores_gemma":[0.0006443657,0.00004602054,0.000008230355,0.00001098045,0.000008197496,7.182584e-7,0.00001320956,0.2509668,0.7421312,0.001351391,0.004749551,0.00006938376],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001715869,0.00005727665,0.9970074,0.0003685823,0.00008046401,0.000100943,0.000004022296,0.0001645522,0.0005009195],"genre_scores_gemma":[0.6366497,0.0000198525,0.3628953,0.00008844303,0.0000425785,0.00002933023,0.00001622138,0.00001090244,0.0002477159],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6349338,"threshold_uncertainty_score":0.2979572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02074119083785667,"score_gpt":0.2261978321474267,"score_spread":0.2054566413095701,"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."}}