{"id":"W2060227159","doi":"10.1090/s0033-569x-06-01037-2","title":"Parametrization of the two and three-dimensional motion of a viscous incompressible liquid","year":2006,"lang":"en","type":"article","venue":"Quarterly of Applied Mathematics","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Parametrization (atmospheric modeling); Compressibility; Motion (physics); Viscous liquid; Parametric statistics; Classical mechanics; Space (punctuation); Physics; Equations of motion; Mathematical analysis; Parametric equation; Mechanics; Mathematics; Geometry; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0001647911,0.00008541503,0.0002074582,0.0000781689,0.00001469669,0.000004486943,0.00007943559,0.00004692613,0.000004946397],"category_scores_gemma":[0.000006271483,0.00006742757,0.00003633273,0.0001836443,0.00004380854,0.00003165059,0.000007638328,0.00005328886,3.770347e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007053654,"about_ca_system_score_gemma":0.000004989949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001059998,"about_ca_topic_score_gemma":0.000003250508,"domain_scores_codex":[0.9993035,0.00000646108,0.0003733637,0.00006182014,0.0001827274,0.00007219047],"domain_scores_gemma":[0.9994885,0.000134239,0.0001203538,0.000200479,0.00004251251,0.00001391488],"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":[0.000008313998,0.0000418995,0.00002982547,0.0004585896,0.00001369881,3.906103e-8,0.0002841188,0.915494,0.07518739,0.007482457,0.000009244387,0.0009904495],"study_design_scores_gemma":[0.0004108898,0.0000814125,0.00053727,0.00007752646,0.00002178678,9.346414e-7,0.00003780902,0.890125,0.08989915,0.01873193,0.000004393947,0.00007192939],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6972644,0.00003890919,0.3019226,0.000002406135,0.00002919388,0.0001153006,0.000003931179,0.00002524479,0.0005980413],"genre_scores_gemma":[0.8887427,0.000001009929,0.1112176,4.839725e-7,0.00001292169,0.000004950741,0.0000026106,0.00001335658,0.00000427014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1914784,"threshold_uncertainty_score":0.2749617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009023089601276608,"score_gpt":0.23007529315093,"score_spread":0.2210522035496534,"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."}}