{"id":"W3027257009","doi":"10.1080/01621459.2020.1769636","title":"Smoothing Spline Semiparametric Density Models","year":2020,"lang":"en","type":"article","venue":"Journal of the American Statistical Association","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Probity Medical Research","funders":"Division of Mathematical Sciences; National Science Foundation","keywords":"Statistics; Mathematics; Econometrics; Smoothing; Spline (mechanical); Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006247221,0.0008783027,0.001618219,0.001831255,0.0005375473,0.001840853,0.002524966,0.001860432,0.004964407],"category_scores_gemma":[0.02301713,0.000652048,0.001761338,0.002654789,0.001320175,0.002143678,0.001686333,0.002258762,0.001259431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008101148,"about_ca_system_score_gemma":0.001301847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003476849,"about_ca_topic_score_gemma":0.002839227,"domain_scores_codex":[0.997349,0.001479585,0.0001186264,0.0003199961,0.0005517512,0.0001809496],"domain_scores_gemma":[0.9912009,0.005570902,0.0006974011,0.001190258,0.001159481,0.000181024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000790666,0.0000499235,0.002048055,0.0001930614,0.00009060943,0.0001793854,0.0002023274,0.4792332,0.001120847,0.462559,0.003121153,0.0511235],"study_design_scores_gemma":[0.000007645553,0.00001296791,0.0002618437,0.00002148248,0.00001336541,0.00006418746,0.00001792142,0.9121034,0.0001908478,0.08531334,0.001975761,0.00001716339],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003875829,0.0001966412,0.9944417,0.0001201028,0.000021793,0.00002455624,0.0001179098,0.0001935019,0.00100796],"genre_scores_gemma":[0.5600117,0.001997244,0.4206008,0.0002559235,0.0002391821,0.0005859571,0.001301133,0.0004056979,0.01460232],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006247221,"threshold_uncertainty_score":0.03303885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08470072460900817,"score_gpt":0.3579781567261543,"score_spread":0.2732774321171461,"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."}}