{"id":"W2074402352","doi":"10.1115/icnmm2007-30139","title":"Entrance Length Characteristics in Microchannels Using Micro-Particle Image Velocimetry","year":2007,"lang":"en","type":"article","venue":"","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Microchannel; Laminar flow; Particle image velocimetry; Hydraulic diameter; Reynolds number; Mechanics; Velocimetry; Particle tracking velocimetry; Materials science; Scaling; Flow (mathematics); Physics; Geometry; Turbulence; Mathematics","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":[0.0006245134,0.0001954808,0.0002593011,0.0004352254,0.0002353913,0.0005147799,0.0002780333,0.0002083015,0.0006723477],"category_scores_gemma":[0.001182441,0.0001606984,0.0001238685,0.0002849009,0.0003803224,0.0006132135,0.0002406172,0.0002541232,0.0001379516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00046915,"about_ca_system_score_gemma":0.0004235852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008898434,"about_ca_topic_score_gemma":0.001065345,"domain_scores_codex":[0.9996887,0.00002766673,0.00001799423,0.00007523439,0.000130822,0.00005947524],"domain_scores_gemma":[0.9987261,0.0004911196,0.000295448,0.00006685514,0.0003285754,0.0000918614],"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":[0.0003154834,0.00005661518,0.007088648,0.000132062,0.0000058766,0.00008546103,0.0003266422,0.002218443,0.9725208,0.0008371927,0.0001271509,0.01628565],"study_design_scores_gemma":[0.00001336799,0.0003408052,0.01784667,0.00001304926,0.00001431399,0.0001592063,0.00009802383,0.01566527,0.9640901,0.0002356098,0.001485979,0.00003761619],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9642498,0.0009950367,0.03301813,0.00003313761,0.00001456626,0.00005132072,0.0001913011,0.000356127,0.001090474],"genre_scores_gemma":[0.9824898,0.0002688123,0.01611959,0.00001208835,0.00000456201,0.00002539201,0.0001078717,0.00002957208,0.0009422006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008898434,"threshold_uncertainty_score":0.003403902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007131691625597333,"score_gpt":0.2146453954863346,"score_spread":0.2075137038607373,"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."}}