{"id":"W2598845686","doi":"","title":"A versatile particle image velocimetry system for flow measurements in water tanks","year":2005,"lang":"en","type":"article","venue":"eCite Digital Repository (University of Tasmania)","topic":"Flow Measurement and Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Particle image velocimetry; Particle tracking velocimetry; Particle (ecology); Flow (mathematics); Velocimetry; Environmental science; Geology; Optics; Mechanics; Physics; Turbulence; Oceanography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001135107,0.0001257994,0.0002197525,0.00009917215,0.00008638491,0.00005904266,0.0001821647,0.0000596133,0.00001682669],"category_scores_gemma":[0.000007713647,0.0001409436,0.0001495201,0.0001422739,0.00003492568,0.0007653243,0.00003484906,0.00006356872,0.00005548491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002689734,"about_ca_system_score_gemma":0.00001035861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001701237,"about_ca_topic_score_gemma":0.00004001324,"domain_scores_codex":[0.9991204,0.00001271307,0.0001723254,0.0001796015,0.0002623308,0.0002526768],"domain_scores_gemma":[0.9996103,0.0000157718,0.00003432575,0.0001861814,0.00008079462,0.00007259719],"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":[0.0004339287,0.0005102716,0.05993028,0.001203606,0.001225644,0.0001297992,0.005268404,0.06144841,0.8341799,0.00004897688,0.007332317,0.0282885],"study_design_scores_gemma":[0.004730098,0.0001664312,0.01067512,0.0003240162,0.0003237039,0.00001476644,0.005028028,0.4954278,0.4725582,0.00001727187,0.009770949,0.0009635529],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867186,0.00008097521,0.003454711,0.00002767239,0.0001844042,0.0001681381,0.00002012544,0.000137435,0.009207925],"genre_scores_gemma":[0.997779,0.000001454666,0.001319914,0.000002787054,0.00005224943,9.310108e-7,0.00001796488,0.0000168643,0.0008089026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4339795,"threshold_uncertainty_score":0.5747513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01198968231392572,"score_gpt":0.1634208976807003,"score_spread":0.1514312153667745,"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."}}