{"id":"W1990198551","doi":"10.3103/s106653070801002x","title":"Cardinal splines in nonparametric regression","year":2008,"lang":"en","type":"article","venue":"Mathematical Methods of Statistics","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Nonparametric regression; Mathematics; Box spline; Nonparametric statistics; Kernel (algebra); Applied mathematics; Class (philosophy); Kernel regression; Heuristic; Equidistant; Grid; Mathematical optimization; Discrete mathematics; Computer science; Statistics; Artificial intelligence; Geometry; Spline interpolation","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002041352,0.000316873,0.001179969,0.0003064612,0.00008364511,0.000008936046,0.0002718006,0.0001667846,0.0001979451],"category_scores_gemma":[0.02260518,0.0002447733,0.0001176048,0.0006400829,0.0003958446,0.00008761459,0.0001328468,0.0003674572,0.0000135804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005674102,"about_ca_system_score_gemma":0.00006424326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000077775,"about_ca_topic_score_gemma":0.000001434382,"domain_scores_codex":[0.9966789,0.0006577307,0.001264793,0.0003973674,0.0005369047,0.0004643111],"domain_scores_gemma":[0.9828064,0.01589623,0.0003459032,0.0005232606,0.0002365951,0.0001915712],"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":[0.00006552994,0.0004594118,0.0001598566,0.0007255691,0.00002820555,0.000105022,0.0004132086,0.00002814941,0.000944135,0.9325616,0.0007284191,0.06378084],"study_design_scores_gemma":[0.0005197873,0.0001362597,0.0003160399,0.0002060064,0.00005479728,0.00007521668,0.00007345743,0.02064579,0.002595556,0.9749681,0.0001442554,0.0002646972],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005630611,0.0001079438,0.9903918,0.00004233504,0.0001149472,0.0003606899,0.0001358076,0.00005104012,0.003164852],"genre_scores_gemma":[0.009854108,0.00007713528,0.9895385,0.00002799821,0.00004362759,0.00003853937,0.000004575373,0.00005235059,0.000363176],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.06351614,"threshold_uncertainty_score":0.9981563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2252783820233168,"score_gpt":0.5110547383760421,"score_spread":0.2857763563527252,"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."}}