{"id":"W2131005613","doi":"10.1002/nme.777","title":"On the construction of blending elements for local partition of unity enriched finite elements","year":2003,"lang":"en","type":"article","venue":"International Journal for Numerical Methods in Engineering","topic":"Numerical methods in engineering","field":"Engineering","cited_by":332,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ryerson University","keywords":"Partition of unity; Partition (number theory); Finite element method; Convergence (economics); Rate of convergence; Mathematics; Polynomial; Applied mathematics; Element (criminal law); Mathematical optimization; Function (biology); Mathematical analysis; Computer science; Engineering; Combinatorics; Structural engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03646341982548765,"score_gpt":0.3743035526548072,"score_spread":0.3378401328293196,"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."},"direct_labels":[],"classifier":{"requested":true,"available":true,"version":"metacan-v1-d91a1de5be90","frame_rows_covered":4299418,"decision_targets":["metaresearch","metaepi_narrow","metaepi_broad","bibliometrics","sts","scholarly_communication","open_science","research_integrity","randomized_trial","nonrandomized_trial","observational","systematic_review","meta_analysis","case_report","qualitative","simulation_or_modeling","bench_or_experimental","theoretical_or_conceptual","not_applicable"],"score_encoding":"uint16_le_65535","score_resolution":0.000015259021896696422,"interpretation":"Scores imitate each teacher on the enriched screening sample; they are not calibrated prevalence probabilities for the full frame.","warning":null},"prediction":{"classifier_version":"metacan-v1-d91a1de5be90","candidate_union":["simulation_or_modeling","theoretical_or_conceptual"],"consensus_intersection":["simulation_or_modeling","theoretical_or_conceptual"],"score_encoding":"uint16_le_65535","score_resolution":0.000015259021896696422,"scores":{"codex":{"metaresearch":0.0007171740291447319,"metaepi_narrow":0.000030518043793392844,"metaepi_broad":0.000015259021896696422,"bibliometrics":0.00006103608758678569,"sts":0.000045777065690089265,"scholarly_communication":0.000015259021896696422,"open_science":0,"research_integrity":0.00018310826276035706,"randomized_trial":0,"nonrandomized_trial":0.000015259021896696422,"observational":0.0014648661020828565,"systematic_review":0.0006713969634546426,"meta_analysis":0.000030518043793392844,"case_report":0.00009155413138017853,"qualitative":0.000045777065690089265,"simulation_or_modeling":0.7641870756084534,"bench_or_experimental":0.015259021896696421,"theoretical_or_conceptual":0.3589684901197833,"not_applicable":0.00015259021896696422,"design_other":0.0004730296787975891},"gemma":{"metaresearch":0.0032806897077897307,"metaepi_narrow":0.000015259021896696422,"metaepi_broad":0.00006103608758678569,"bibliometrics":0.000030518043793392844,"sts":0.00012207217517357137,"scholarly_communication":0.000015259021896696422,"open_science":0,"research_integrity":0.00009155413138017853,"randomized_trial":0.000015259021896696422,"nonrandomized_trial":0.000030518043793392844,"observational":0.0004882887006942855,"systematic_review":0.001083390554665446,"meta_analysis":0.000015259021896696422,"case_report":0.00012207217517357137,"qualitative":0.0005340657663843748,"simulation_or_modeling":0.7109941252765698,"bench_or_experimental":0.0034943160143434807,"theoretical_or_conceptual":0.12178225375753414,"not_applicable":0.0025177386129549098}},"interpretation":"Scores imitate each teacher on the enriched screening sample; they are not calibrated prevalence probabilities for the full frame."}}