{"id":"W2602161925","doi":"10.11575/prism/30277","title":"Component-wise Interpolation of Solenoidal Vector Fields: A Comparative Numerical Study","year":2015,"lang":"en","type":"article","venue":"PRISM (University of Calgary)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Mitacs","keywords":"Solenoidal vector field; Interpolation (computer graphics); Component (thermodynamics); Mathematics; Vector field; Mathematical analysis; Applied mathematics; Computer science; Geometry; Artificial intelligence; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001458754,0.0003920762,0.0005683164,0.000859921,0.0004370802,0.0008733653,0.0008031513,0.0006418139,0.001571757],"category_scores_gemma":[0.00470623,0.000166723,0.0002823036,0.001326646,0.0006070313,0.0006539115,0.0004351635,0.0005233445,0.0002165428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005416075,"about_ca_system_score_gemma":0.0007996376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00567943,"about_ca_topic_score_gemma":0.003516979,"domain_scores_codex":[0.9996414,0.00009180504,0.00002453947,0.00002780338,0.0001804355,0.0000340448],"domain_scores_gemma":[0.9970556,0.001712548,0.0002177312,0.0003081597,0.0006175365,0.00008825574],"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":[0.0006371837,0.0003525397,0.00785191,0.0005452421,0.00005492854,0.0002290062,0.0004564109,0.8824871,0.01635222,0.02711837,0.001477136,0.06243798],"study_design_scores_gemma":[0.00001559447,0.0000815982,0.000442381,0.00001654765,0.000005549964,0.00004500483,0.00005761153,0.9938579,0.003949465,0.0006938917,0.0008234025,0.00001106839],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7297016,0.001551923,0.2483049,0.0004016502,0.0001570367,0.0001721419,0.0003333832,0.001143445,0.01823381],"genre_scores_gemma":[0.9028735,0.0004406626,0.0948649,0.00003149193,0.00001399576,0.00004596033,0.0001844238,0.000140528,0.001404645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00567943,"threshold_uncertainty_score":0.01129276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02137358629028482,"score_gpt":0.2387549722356242,"score_spread":0.2173813859453393,"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."}}