{"id":"W2004895917","doi":"10.1002/cjs.11233","title":"Stochastic dynamic models and Chebyshev splines","year":2014,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institutes of Health","keywords":"Mathematics; Spline (mechanical); Chebyshev filter; Chebyshev nodes; Applied mathematics; Connection (principal bundle); Chebyshev polynomials; Chebyshev equation; Stochastic differential equation; Chebyshev iteration; Mathematical analysis; Orthogonal polynomials; Geometry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003736726,0.0007136416,0.0009818401,0.001470381,0.0005071662,0.001504609,0.001272691,0.001814428,0.002263987],"category_scores_gemma":[0.01193032,0.0004921976,0.001235411,0.001466807,0.002453355,0.002340476,0.001745614,0.003081172,0.0004049325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00128829,"about_ca_system_score_gemma":0.001354918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006369652,"about_ca_topic_score_gemma":0.003395508,"domain_scores_codex":[0.9982784,0.0007743037,0.00007874994,0.0003061389,0.0004139242,0.0001485474],"domain_scores_gemma":[0.9947643,0.003307227,0.0007205315,0.0003962266,0.0005702671,0.0002414426],"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":[0.00001692967,0.00002191577,0.001046111,0.00004657652,0.00003613372,0.00006358635,0.00007892255,0.2364228,0.0006498413,0.7538633,0.0004403605,0.007313479],"study_design_scores_gemma":[0.000006894161,0.00001715979,0.0003007432,0.00001459167,0.000006896706,0.00003670651,0.00001837842,0.7538264,0.0001303855,0.2442634,0.00136326,0.00001521853],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02047339,0.0005905829,0.9761181,0.0006008042,0.00006099745,0.00001209785,0.00008672356,0.00007390602,0.001983342],"genre_scores_gemma":[0.8281734,0.002279808,0.1541367,0.0003614605,0.0003271839,0.0001633974,0.0005104946,0.0001351983,0.01391235],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006369652,"threshold_uncertainty_score":0.01976192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07889960976736633,"score_gpt":0.3222063784490051,"score_spread":0.2433067686816388,"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."}}