{"id":"W1505526118","doi":"","title":"Traveling wave solutions of burgers’ equation for power-law non-newtonian flows","year":2011,"lang":"en","type":"article","venue":"ScholarWorks - UNO (University of New Orleans)","topic":"Nonlinear Waves and Solitons","field":"Physics and Astronomy","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Power law; Mathematics; Burgers' equation; Traveling wave; Power-law fluid; Newtonian fluid; Power (physics); Viscosity; Mathematical physics; Mathematical analysis; Law; Physics; Mechanics; Thermodynamics; Partial differential equation; Political science; Statistics","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":[0.000291435,0.0004809929,0.0002637923,0.0005698229,0.0003331708,0.0006858978,0.0004968286,0.0006716727,0.003180967],"category_scores_gemma":[0.001111527,0.0001791403,0.0004661708,0.0003260563,0.0007579333,0.001382186,0.0004714504,0.0006837643,0.0003146185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002786846,"about_ca_system_score_gemma":0.0003094091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006901757,"about_ca_topic_score_gemma":0.0004455139,"domain_scores_codex":[0.9999411,0.0000130479,0.000005246245,0.00000827651,0.00002030279,0.00001208069],"domain_scores_gemma":[0.9997695,0.0000646706,0.0000489333,0.0000130717,0.000084584,0.00001918113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001005855,0.00004567357,0.001127808,0.0002576876,0.00003684774,0.0008208192,0.0008862113,0.06542915,0.07793295,0.8243046,0.002805732,0.02625187],"study_design_scores_gemma":[0.00007127158,0.0001005763,0.0009962046,0.00004712278,0.00002868556,0.0009055887,0.0004382017,0.7009821,0.01178249,0.278934,0.005653402,0.00006035223],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4558993,0.00126707,0.5206277,0.0006919701,0.0001241837,0.00009663666,0.000132556,0.0002029295,0.02095764],"genre_scores_gemma":[0.8685763,0.001676198,0.105297,0.000158012,0.0001431066,0.0001353322,0.0002131549,0.0001049791,0.02369603],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003180967,"threshold_uncertainty_score":0.01064146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06729779650194176,"score_gpt":0.2279532416152943,"score_spread":0.1606554451133526,"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."}}