{"id":"W4299811656","doi":"10.1615/tsfp10.860","title":"INFLUENCE OF SENSOR LOCATION IN REMOTE-SENSOR BASED FLOW ESTIMATION","year":2017,"lang":"en","type":"article","venue":"Proceeding of Tenth International Symposium on Turbulence and Shear Flow Phenomena","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Acoustics; Planar; Computer science; Physics","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":[0.0008051136,0.0007531325,0.0004167467,0.0002642593,0.0001837497,0.0004037464,0.0003907733,0.0004361587,0.0005453323],"category_scores_gemma":[0.004360417,0.0002608101,0.0002233361,0.0002177573,0.0002728371,0.001037706,0.0006181635,0.0004024737,0.0002801896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001454834,"about_ca_system_score_gemma":0.0004264007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00110794,"about_ca_topic_score_gemma":0.001329499,"domain_scores_codex":[0.9994974,0.0002270418,0.00002132331,0.0001150962,0.00009935915,0.00003971572],"domain_scores_gemma":[0.9987543,0.0007125813,0.0001417437,0.0001682041,0.0001958455,0.00002730707],"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":[0.001044326,0.0002174279,0.008523053,0.000318188,0.00007132912,0.0004545768,0.0001719434,0.4286249,0.2405123,0.003821933,0.000584489,0.3156556],"study_design_scores_gemma":[0.00003462668,0.0004608249,0.007374872,0.00003932276,0.00005482466,0.000225596,0.00009634211,0.8650305,0.1241815,0.001142329,0.001317625,0.00004173088],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2472103,0.0007282814,0.7497354,0.0001311168,0.00009257624,0.00003465109,0.00007933508,0.0005745885,0.001413712],"genre_scores_gemma":[0.8713127,0.0002502429,0.1277336,0.00003577555,0.00002245793,0.00002402885,0.00007619643,0.00005581331,0.0004892234],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00110794,"threshold_uncertainty_score":0.004257858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009755787947089357,"score_gpt":0.2315798512156428,"score_spread":0.2218240632685535,"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."}}