{"id":"W2160419158","doi":"","title":"On the Calculuation of Approximate Fekete Points: the Univariate Case","year":2008,"lang":"en","type":"article","venue":"ETNA - Electronic Transactions on Numerical Analysis","topic":"Mathematical functions and polynomials","field":"Mathematics","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Univariate; Mathematics; Interpolation (computer graphics); Polynomial; Applied mathematics; Univariate analysis; Calculus (dental); Pure mathematics; Mathematical analysis; Statistics; Multivariate statistics; Multivariate analysis; Computer science; Medicine; Artificial intelligence; Orthodontics","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":[0.002741547,0.0008303476,0.001214749,0.002281094,0.00119359,0.002013417,0.001873519,0.001274911,0.00406886],"category_scores_gemma":[0.01018961,0.0003402413,0.0009926358,0.001932953,0.003322073,0.004064658,0.002139946,0.002390066,0.0007623495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00101499,"about_ca_system_score_gemma":0.0005904878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001298683,"about_ca_topic_score_gemma":0.001401792,"domain_scores_codex":[0.9991739,0.0002962284,0.00003634757,0.00008239823,0.0003231514,0.00008792654],"domain_scores_gemma":[0.9977978,0.001347333,0.0001764889,0.0002928035,0.0002710162,0.000114565],"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":[0.00001772263,0.00001516061,0.0003143979,0.00007011193,0.000008576995,0.00009253389,0.0001021884,0.02979777,0.0006042156,0.9554157,0.0005163587,0.01304536],"study_design_scores_gemma":[0.000007703172,0.00002058105,0.0001693491,0.00004460178,0.000007595905,0.00009463428,0.00004687529,0.2745444,0.00146096,0.7208198,0.002763222,0.00002033237],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03780739,0.001033151,0.946628,0.0003847813,0.0001364676,0.00003648176,0.00005256492,0.0001834272,0.01373767],"genre_scores_gemma":[0.6032304,0.002576769,0.3800972,0.0002098101,0.0003698782,0.0001750597,0.000126531,0.0003902689,0.01282407],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00406886,"threshold_uncertainty_score":0.01449883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03654614114815205,"score_gpt":0.2815005624501152,"score_spread":0.2449544213019631,"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."}}