{"id":"W3101376386","doi":"","title":"New method for detecting singularities in experimental incompressible flows","year":2017,"lang":"en","type":"article","venue":"LillOA (Université de Lille (University Of Lille))","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Gravitational singularity; Mathematics; Reynolds number; Vorticity; Vector field; Singularity; Mathematical analysis; Geometry; Nonlinear system; Boundary (topology); Vortex; Flow (mathematics); Plane (geometry); Particle image velocimetry; Wind tunnel; Mechanics; Physics; Turbulence","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001740582,0.0002240427,0.0003835966,0.0003149101,0.000771767,0.00004682891,0.0007323797,0.0002062249,0.0002122907],"category_scores_gemma":[0.00001908108,0.0003251645,0.0002176492,0.0001270911,0.00006571264,0.0005240628,0.0004125438,0.0001856021,0.000007745991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004073648,"about_ca_system_score_gemma":0.00005126453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002763767,"about_ca_topic_score_gemma":0.002853844,"domain_scores_codex":[0.9989353,0.000028636,0.0001371982,0.0003069236,0.0001643905,0.0004275099],"domain_scores_gemma":[0.9990794,0.00008558618,0.0001158172,0.0005012419,0.00004063529,0.0001773205],"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":[0.002157831,0.0005432832,0.01597612,0.001407854,0.001442157,0.001008576,0.06923004,0.2814152,0.4374784,0.03118088,0.01462388,0.1435358],"study_design_scores_gemma":[0.004364729,0.0001534991,0.005314811,0.0001553824,0.00007331861,0.00002099833,0.006230484,0.9588878,0.00842802,0.0004957539,0.01524779,0.0006274685],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.897012,0.0006601507,0.07797074,0.0002561153,0.0004614879,0.0003948419,0.00004775245,0.0001987065,0.02299821],"genre_scores_gemma":[0.8749026,0.00009590766,0.1211783,0.00001463722,0.00006240411,5.996793e-7,0.00001372351,0.00004226546,0.003689568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6774725,"threshold_uncertainty_score":0.9999201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009879504026277538,"score_gpt":0.2153871234830378,"score_spread":0.2055076194567602,"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."}}