{"id":"W1982612788","doi":"10.1016/j.cpc.2008.10.003","title":"NumSBT: A subroutine for calculating spherical Bessel transforms numerically","year":2008,"lang":"en","type":"article","venue":"Computer Physics Communications","topic":"Mathematical functions and polynomials","field":"Mathematics","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Subroutine; Bessel function; Identifier; Fortran; Variable (mathematics); Logarithm; Algorithm; Computer science; Function (biology); Hankel transform; Mathematics; Applied mathematics; Mathematical analysis; Programming language","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007287901,0.001569677,0.00122098,0.001508977,0.001322094,0.001813037,0.002617761,0.001009154,0.0791064],"category_scores_gemma":[0.00438642,0.0007964412,0.0009529709,0.001408123,0.0005535571,0.002353752,0.001417104,0.001710754,0.02304546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001256377,"about_ca_system_score_gemma":0.00156446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003940671,"about_ca_topic_score_gemma":0.005650564,"domain_scores_codex":[0.999499,0.00008129518,0.00003537738,0.00005883707,0.0002539059,0.00007156841],"domain_scores_gemma":[0.9983377,0.0007506565,0.0000819099,0.0002285296,0.0005125568,0.00008862343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006659726,0.0002744681,0.003790191,0.00150539,0.0002176794,0.0006445158,0.0008108044,0.0727557,0.01663242,0.0837744,0.2195331,0.5993955],"study_design_scores_gemma":[0.000381746,0.00008867439,0.001625997,0.0002350033,0.00007947651,0.0004578201,0.0002614435,0.6802028,0.06477918,0.07274372,0.178997,0.000147222],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.01651753,0.0002789974,0.8369141,0.0002027379,0.0003743826,0.0001617131,0.003122452,0.103422,0.03900613],"genre_scores_gemma":[0.1497124,0.0002844416,0.7471586,0.0003402943,0.0001406263,0.0006426518,0.005563157,0.05839107,0.03776674],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.0791064,"threshold_uncertainty_score":0.2646372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.18524831874019,"score_gpt":0.3563188628392912,"score_spread":0.1710705440991012,"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."}}