{"id":"W4390414256","doi":"10.1088/978-0-7503-5022-8ch6","title":"Basis sets for fitting","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Numerical methods in engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Basis (linear algebra); Computer science; Mathematics; 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":[0.001555688,0.001479528,0.001318822,0.001990582,0.001440699,0.003231334,0.002496224,0.002315256,0.03383965],"category_scores_gemma":[0.004040698,0.0009375768,0.001204283,0.002572073,0.001293225,0.003311217,0.003001626,0.004819465,0.02661858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001011602,"about_ca_system_score_gemma":0.001139914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001098669,"about_ca_topic_score_gemma":0.001604159,"domain_scores_codex":[0.9984787,0.000359683,0.00007469633,0.0001733309,0.0008436228,0.0000698174],"domain_scores_gemma":[0.9993333,0.0002922802,0.00002314104,0.0001441171,0.0001838272,0.00002334129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001939252,0.00003590602,0.00007562598,0.0006073378,0.00003133126,0.00007184879,0.0001940604,0.01893649,0.003370365,0.7479855,0.05589667,0.1727754],"study_design_scores_gemma":[0.00001121763,0.00002082423,0.0000808021,0.0004719843,0.00001305134,0.000256675,0.00008581707,0.07444533,0.003804102,0.4433129,0.4774482,0.00004911853],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0008324484,0.009769364,0.8950078,0.0009039973,0.001135292,0.0001273568,0.0005095538,0.001340673,0.09037349],"genre_scores_gemma":[0.01539553,0.01688552,0.8920437,0.00104041,0.0004591144,0.0007685218,0.002340107,0.002268672,0.06879845],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03383965,"threshold_uncertainty_score":0.1132049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04993860258440574,"score_gpt":0.2863673102553804,"score_spread":0.2364287076709746,"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."}}