{"id":"W2017613289","doi":"10.1063/1.1536051","title":"The stability of planar Couette flow simulated by molecular dynamics","year":2003,"lang":"en","type":"article","venue":"The Journal of Chemical Physics","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Couette flow; Taylor–Couette flow; Reynolds number; Flow (mathematics); Shear flow; Planar; Mechanics; Stability (learning theory); Physics; Linear stability; Classical mechanics; Statistical physics; Equation of state; Instability; Mathematics; Turbulence; Thermodynamics; Computer science","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":[0.0002163614,0.0003353207,0.00028957,0.0004966126,0.0004498827,0.0004811023,0.0003972767,0.0005172195,0.0006561883],"category_scores_gemma":[0.001280747,0.0001633994,0.0002984455,0.0003023827,0.0006653709,0.0004706622,0.0004006903,0.000355694,0.0001077078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009439928,"about_ca_system_score_gemma":0.0005054527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008964502,"about_ca_topic_score_gemma":0.002283203,"domain_scores_codex":[0.9998629,0.00002676576,0.000006075574,0.00002191482,0.00005413355,0.00002825459],"domain_scores_gemma":[0.9997686,0.00009656075,0.00004153466,0.0000251999,0.00004981597,0.00001845119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008115187,0.00002266494,0.002568899,0.00003655141,0.00002861037,0.00008922552,0.000109457,0.9579297,0.02121927,0.01295646,0.0003926007,0.004565411],"study_design_scores_gemma":[0.000003568234,0.000009413442,0.0003683953,0.000001597134,0.000002512995,0.000007397304,0.000006739145,0.9961509,0.002352361,0.0008613306,0.0002306503,0.000005123303],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9168427,0.0004370883,0.07266831,0.0004571436,0.00003683784,0.00004728989,0.0003506872,0.0007655945,0.008394386],"genre_scores_gemma":[0.9928853,0.0001342989,0.006247628,0.00003148122,0.00000892726,0.00001942624,0.0001375179,0.00002698122,0.0005085256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008964502,"threshold_uncertainty_score":0.01782465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004042950146358688,"score_gpt":0.1823265923810473,"score_spread":0.1782836422346886,"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."}}