{"id":"W3009522488","doi":"10.1063/5.0002035","title":"Tracking the flapping motion of flow separation using pointwise measurement","year":2020,"lang":"en","type":"article","venue":"Physics of Fluids","topic":"Fluid Dynamics and Vibration Analysis","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Physics; Particle image velocimetry; Flow separation; Flow (mathematics); Flapping; Particle tracking velocimetry; Mechanics; Velocimetry; Turbulence; Mean flow; Inflection point; Optics; Geometry; Mathematics","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":[0.000745193,0.0004567955,0.0004870588,0.0004348585,0.0002423555,0.0004410912,0.0005853098,0.000642282,0.0003710975],"category_scores_gemma":[0.001871567,0.000323975,0.0003118526,0.000444208,0.0004724257,0.00074849,0.000549939,0.0005761011,0.0001300539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003428624,"about_ca_system_score_gemma":0.0005559999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001229905,"about_ca_topic_score_gemma":0.002063301,"domain_scores_codex":[0.9997382,0.00005345433,0.000008456413,0.00008717017,0.00008763612,0.00002514327],"domain_scores_gemma":[0.9992511,0.0003315203,0.0001813473,0.0001281562,0.00007478906,0.0000331086],"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":[0.000366929,0.0001591088,0.01886913,0.0001858094,0.00005505709,0.0001495878,0.0002989275,0.2337294,0.5854201,0.004253124,0.0002976549,0.1562152],"study_design_scores_gemma":[0.00001203103,0.0002316057,0.006385494,0.000008218201,0.0000124096,0.00008413495,0.00003453142,0.917605,0.07384355,0.001181908,0.0005585065,0.00004267088],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2970634,0.0001834483,0.701818,0.00004271046,0.00002155615,0.00003227646,0.00005469074,0.0003784671,0.0004053798],"genre_scores_gemma":[0.7495946,0.0001722577,0.2496311,0.00002374294,0.00001148607,0.00005830569,0.0001009877,0.00003128704,0.0003761633],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001229905,"threshold_uncertainty_score":0.003941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0530884067172827,"score_gpt":0.2524739220946195,"score_spread":0.1993855153773368,"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."}}