{"id":"W2049276114","doi":"10.3390/e11030334","title":"Imaging Velocimetry Measurements for Entropy Production in a Rotational Magnetic Stirring Tank and Parallel Channel Flow","year":2009,"lang":"en","type":"article","venue":"Entropy","topic":"Advanced Thermodynamics and Statistical Mechanics","field":"Physics and Astronomy","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Imperial Oil (Canada); Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mechanics; Entropy production; Particle image velocimetry; Entropy (arrow of time); Laminar flow; Particle tracking velocimetry; Velocimetry; Dissipation; Mechanical energy; Optics; Physics; Materials science; Power (physics); Thermodynamics; Turbulence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006582569,0.0004409252,0.0003378874,0.0009409923,0.000567883,0.000355914,0.0004309189,0.000335043,0.001082375],"category_scores_gemma":[0.001171799,0.0002150989,0.0002388398,0.0006128352,0.0004768878,0.0004543962,0.000393275,0.00043444,0.0001534791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008671568,"about_ca_system_score_gemma":0.0008907957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001245586,"about_ca_topic_score_gemma":0.001228348,"domain_scores_codex":[0.9996386,0.00003681485,0.00002534394,0.00006162025,0.0001943915,0.00004327379],"domain_scores_gemma":[0.9992951,0.0002384029,0.0002105566,0.00005405484,0.0001487456,0.000052964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004474588,0.0001733986,0.002910243,0.00006441554,0.000007929584,0.00005413438,0.00006960889,0.004253697,0.9737437,0.001555034,0.0001927405,0.01652771],"study_design_scores_gemma":[0.00004319196,0.0007797924,0.005959064,0.000006624276,0.00002351428,0.0000900883,0.00003765075,0.03791238,0.9531817,0.0003974115,0.001535399,0.00003326351],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.880981,0.0003625878,0.1149481,0.0001388525,0.00009738186,0.0001921591,0.0003386835,0.0003728851,0.002568422],"genre_scores_gemma":[0.9306799,0.0002357733,0.06666727,0.00003177356,0.00002163003,0.0001735326,0.0002960824,0.00004174855,0.001852242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001245586,"threshold_uncertainty_score":0.006291687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01289480060449424,"score_gpt":0.2543048649420273,"score_spread":0.2414100643375331,"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."}}