{"id":"W7002525683","doi":"","title":"Numerical Modelling of Viscous Flows at Low Reynolds Numbers","year":2005,"lang":"en","type":"article","venue":"NPARC","topic":"Trade Secret Protection Methods","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reynolds number; Flow (mathematics); Numerical models; Work (physics); Numerical analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007728994,0.0001461897,0.0003073832,0.00008058916,0.0003503406,0.000002923804,0.0001801604,0.0002674415,0.005684615],"category_scores_gemma":[0.0001008963,0.0001388383,0.0001022938,0.0002162649,0.00004804061,0.0001079924,0.00007587429,0.00067711,0.0007392664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003178653,"about_ca_system_score_gemma":0.0001266332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008081831,"about_ca_topic_score_gemma":0.00002152218,"domain_scores_codex":[0.9977273,0.0006285134,0.0005798335,0.0002856783,0.0003127983,0.0004659137],"domain_scores_gemma":[0.9987924,0.0003365751,0.0002068656,0.0004057148,0.00009242722,0.0001660871],"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":[0.00104603,0.0005071766,0.005706542,0.001338619,0.0001362844,0.00001835167,0.02515111,0.3600347,0.4974162,0.006373835,0.03564714,0.06662397],"study_design_scores_gemma":[0.002685622,0.0001996474,0.0007320046,0.00047009,0.00005855311,0.00001766814,0.0009324153,0.7833192,0.046982,0.005446896,0.1584774,0.0006784587],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4345041,0.00006357911,0.5031964,0.001839093,0.000520752,0.0006248514,0.00001042353,0.0002286967,0.0590122],"genre_scores_gemma":[0.7462962,0.0000230438,0.2489561,0.0004003413,0.0004092742,0.00006860695,0.000003528777,0.00003797584,0.003804946],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4504342,"threshold_uncertainty_score":0.9952243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09122057167557365,"score_gpt":0.4033267584981839,"score_spread":0.3121061868226103,"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."}}