{"id":"W1737416595","doi":"10.1115/imece2014-39127","title":"Calibration of a Wall-Shear-Stress Sensor Made of a Flush-Mounted Hot-Wire Over a Shallow Rectangular Slot","year":2014,"lang":"en","type":"article","venue":"","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies; Intel Corporation","keywords":"Anemometer; Calibration; Shear stress; Voltage; Materials science; Channel (broadcasting); Acoustics; Stress (linguistics); Temperature measurement; Mechanics; Electrical conductor; Shear (geology); Optics; Electrical engineering; Engineering; Physics; Composite material; 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":[0.0007383624,0.0007054728,0.0005037971,0.0005126931,0.0002311434,0.0003700922,0.0009445088,0.0005947216,0.0005343775],"category_scores_gemma":[0.001179681,0.0005136384,0.0002602276,0.0003847617,0.0004897841,0.0004279418,0.0004454402,0.0005649493,0.0003122191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003935435,"about_ca_system_score_gemma":0.0005389893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005410262,"about_ca_topic_score_gemma":0.00111048,"domain_scores_codex":[0.9993075,0.00008790693,0.00005614396,0.0002036931,0.0002980096,0.00004676313],"domain_scores_gemma":[0.9991743,0.0002062629,0.0001804346,0.0001634218,0.0002184475,0.00005704182],"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":[0.0001106659,0.00003506928,0.002430839,0.00009443871,0.00001164651,0.0000756786,0.00004747571,0.001061119,0.9841749,0.0002745437,0.00009508494,0.01158859],"study_design_scores_gemma":[0.00002576295,0.0005521379,0.008689244,0.00001212512,0.00002504854,0.0003448559,0.00004320066,0.01583978,0.9722616,0.0001148325,0.002057653,0.00003386725],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5974007,0.0004636232,0.3984623,0.0001466369,0.0002357462,0.0003470758,0.0004126145,0.001505756,0.001025553],"genre_scores_gemma":[0.7679112,0.0003150904,0.2301975,0.00007171314,0.00003338713,0.0002257518,0.0002465564,0.00004677977,0.0009519758],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009445088,"threshold_uncertainty_score":0.003904879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004972691122887164,"score_gpt":0.1973117557867475,"score_spread":0.1923390646638603,"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."}}