{"id":"W1822370477","doi":"10.1111/stan.12054","title":"Bayesian regression with B‐splines under combinations of shape constraints and smoothness properties","year":2014,"lang":"en","type":"article","venue":"Statistica Neerlandica","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Smoothness; Mathematics; Multivariate adaptive regression splines; Bayesian probability; Regression; Polygon (computer graphics); Spline (mechanical); Mathematical optimization; Bayesian linear regression; Basis function; B-spline; Applied mathematics; Algorithm; Nonparametric regression; Computer science; Bayesian inference; Statistics; Mathematical analysis","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":[],"consensus_categories":[],"category_scores_codex":[0.000286403,0.0001621816,0.0003434675,0.00006891404,0.000108948,0.00003076667,0.0000953428,0.00006085682,0.000286496],"category_scores_gemma":[0.001613254,0.0001004681,0.00001643568,0.0001083847,0.000757321,0.00004798994,0.00003721641,0.0001166482,0.000001941989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008941001,"about_ca_system_score_gemma":0.00004756141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001499641,"about_ca_topic_score_gemma":0.00001095731,"domain_scores_codex":[0.9988794,0.0001421762,0.0003112641,0.0002161109,0.0002553506,0.0001957015],"domain_scores_gemma":[0.9976864,0.001705519,0.0001485675,0.0001982926,0.000140618,0.0001205299],"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":[0.00004858761,0.0001395836,0.0008518482,0.0002482309,0.00002902251,0.000002892165,0.0002670329,9.866317e-7,0.0003440173,0.9646544,0.0003352656,0.0330781],"study_design_scores_gemma":[0.001622125,0.0005632653,0.007852297,0.0006044477,0.0001179589,0.00002586414,0.0003423026,0.04041153,0.000572426,0.947456,0.0001385967,0.0002931783],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02254398,0.00002970105,0.9740703,0.0002929287,0.00004300376,0.0001984214,0.0001160354,0.00004234596,0.00266332],"genre_scores_gemma":[0.7369241,0.000009142933,0.2628961,0.00003802079,0.00001375144,0.00001542948,0.000006507886,0.00001585765,0.00008104756],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7143801,"threshold_uncertainty_score":0.409697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05104230763589715,"score_gpt":0.323826177699875,"score_spread":0.2727838700639779,"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."}}