{"id":"W2066508343","doi":"10.1016/j.jat.2012.05.009","title":"Interpolation and <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" altimg=\"si1.gif\" display=\"inline\" overflow=\"scroll\"><mml:msub><mml:mrow><mml:mi>L</mml:mi></mml:mrow><mml:mrow><mml:mn>1</mml:mn></mml:mrow></mml:msub></mml:math>-approximation by trigonometric polynomials and blending functions","year":2012,"lang":"lv","type":"article","venue":"Journal of Approximation Theory","topic":"Approximation Theory and Sequence Spaces","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Mathematics; Interpolation (computer graphics); Scroll; Artificial intelligence; Computer science; Theology; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005430616,0.0006087123,0.0003710709,0.0009304537,0.001296881,0.001182102,0.0008269813,0.001347615,0.1261741],"category_scores_gemma":[0.003123677,0.0009902341,0.0008939621,0.001068298,0.0009625948,0.003470399,0.0005951648,0.001233797,0.0004422453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003123288,"about_ca_system_score_gemma":0.0006342353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009537744,"about_ca_topic_score_gemma":0.00005592139,"domain_scores_codex":[0.9935964,0.0007511022,0.00211637,0.0007906753,0.001526102,0.001219395],"domain_scores_gemma":[0.9917589,0.002475771,0.00382118,0.0009919759,0.0002142944,0.0007379065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00183572,0.0004051074,0.00002577098,0.001506376,0.001137858,0.00006553704,0.005976083,0.0004288982,0.005538314,0.9086481,0.07017248,0.004259708],"study_design_scores_gemma":[0.002291472,0.001269511,0.0001056956,0.001355015,0.001786078,0.001432982,0.008988874,0.1417302,0.83527,0.003532455,0.001111301,0.001126463],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.786774,0.002179869,0.03058761,0.0006276932,0.001931223,0.00008025243,0.000232317,0.0001137795,0.1774733],"genre_scores_gemma":[0.9877788,0.00102343,0.007595434,0.000480295,0.001579476,0.0003034855,0.0005327774,0.000329205,0.0003771393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9051157,"threshold_uncertainty_score":0.9999489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02151797483957924,"score_gpt":0.2547537520609279,"score_spread":0.2332357772213486,"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."}}