{"id":"W7160786851","doi":"","title":"Turbulent separation detection based on a Lagrangian approach","year":2024,"lang":"","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Separation (statistics); Turbulence; Lagrangian; Noise (video); Stability (learning theory); Tracking (education)","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":[0.0003204675,0.0006067184,0.0005147998,0.001779233,0.0005705598,0.0009782126,0.0005269719,0.0006175022,0.001945689],"category_scores_gemma":[0.0005307177,0.0003901696,0.0005021263,0.0005729694,0.0003057737,0.0007601231,0.001053824,0.0005409946,0.001020771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002951867,"about_ca_system_score_gemma":0.0008439389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001590849,"about_ca_topic_score_gemma":0.003527432,"domain_scores_codex":[0.9997706,0.0000320336,0.000008788625,0.00003926232,0.0001040866,0.00004523067],"domain_scores_gemma":[0.9997606,0.00005541748,0.00003284263,0.00002507554,0.00008965966,0.00003640601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006178971,0.0003256463,0.005430195,0.0001528841,0.0001216412,0.0004006326,0.0001498547,0.06419198,0.3306158,0.0154655,0.003807536,0.5787204],"study_design_scores_gemma":[0.00001823472,0.00006026822,0.001224215,0.000008064875,0.00002208163,0.00009895056,0.00001853576,0.9751074,0.02098069,0.001249412,0.001192512,0.00001965525],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04528828,0.0001484908,0.9504519,0.0001022103,0.00005124594,0.00003301689,0.0000717206,0.001089752,0.0027635],"genre_scores_gemma":[0.4098226,0.000209164,0.5838756,0.0001187329,0.00005730122,0.00005039897,0.0003819098,0.0002065942,0.005277699],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001945689,"threshold_uncertainty_score":0.006508946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007139784566153265,"score_gpt":0.213526899523784,"score_spread":0.2063871149576308,"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."}}