{"id":"W1503453917","doi":"10.1007/11428862_91","title":"Stokes-Flow Problem Solved Using Maple","year":2005,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Chemical and Environmental Engineering Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Maple; Computer science; Boundary value problem; Domain (mathematical analysis); Applied mathematics; Computation; Differential equation; Partial differential equation; Flow (mathematics); Symbolic computation; Algorithm; Mathematics; Mathematical analysis; Geometry","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":[0.0003009565,0.0005352132,0.001149345,0.0005411147,0.0006074865,0.0008458949,0.0006992978,0.001250064,0.008891528],"category_scores_gemma":[0.001575779,0.0003282837,0.0005739177,0.0004606399,0.0004206011,0.0006979459,0.001214272,0.001178469,0.001114883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002868407,"about_ca_system_score_gemma":0.0006303305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003015819,"about_ca_topic_score_gemma":0.002547338,"domain_scores_codex":[0.9998882,0.00003879462,0.000004017381,0.00001735159,0.00003536353,0.00001623998],"domain_scores_gemma":[0.9996213,0.0002606838,0.00001710272,0.00001911996,0.0000568795,0.00002495721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002411122,0.0001764334,0.000806471,0.0004844136,0.0000846055,0.0003305727,0.0002385549,0.7050931,0.007516854,0.123238,0.02050303,0.1412868],"study_design_scores_gemma":[0.00002154676,0.00001594934,0.00006353011,0.000006992095,0.000005690587,0.00001944196,0.00001573507,0.9798461,0.0009318127,0.01698235,0.002085174,0.000005746398],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04053945,0.0003101901,0.9273217,0.0005288268,0.0002233666,0.00006930192,0.0004076773,0.0008963603,0.02970308],"genre_scores_gemma":[0.4464369,0.0004093933,0.516101,0.0002512819,0.0002830737,0.0003411644,0.0006905512,0.00073446,0.0347522],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008891528,"threshold_uncertainty_score":0.0297451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0181105650430554,"score_gpt":0.2313250540683001,"score_spread":0.2132144890252446,"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."}}