{"id":"W2132224557","doi":"","title":"Applied Nonparametric Regression Analysis: The Choice of Generalized Additive Models","year":2013,"lang":"en","type":"article","venue":"Review of Economics and Finance","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Generalized additive model; Additive model; Econometrics; Nonparametric statistics; Generalized linear model; Parametric statistics; Econometric model; Regression analysis; Regression; Parametric model; Computer science; Linear model; Mathematics; Statistics; Machine learning","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0003298506,0.0001066287,0.0006928458,0.00004641995,0.00003192423,0.000005486612,0.0001225257,0.00003497983,0.00002658648],"category_scores_gemma":[0.000251389,0.00006540605,0.0001169477,0.0002261914,0.00007874739,0.00007024845,0.00004694393,0.00006204582,0.000001144406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008170083,"about_ca_system_score_gemma":0.00001400928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002022453,"about_ca_topic_score_gemma":0.000002777628,"domain_scores_codex":[0.9991287,0.00004379194,0.0005084538,0.000178839,0.00003595603,0.0001042302],"domain_scores_gemma":[0.9982184,0.0008370084,0.0005315491,0.0003096591,0.00008121334,0.00002223588],"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":[0.000003728767,0.00002580754,0.000002781821,0.000727225,0.00009261448,4.309815e-8,0.00002434736,0.0005483148,0.000009243758,0.8730947,0.0002545098,0.1252167],"study_design_scores_gemma":[0.0002088164,0.00002538792,0.0001581641,0.0007811256,0.0004192459,4.190015e-7,0.000009220716,0.1024208,0.0001617122,0.8922678,0.003420567,0.0001267844],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.07562555,0.1359508,0.7791145,0.0004737487,0.00006379947,0.001866436,0.0002870839,0.00001124038,0.006606855],"genre_scores_gemma":[0.09632391,0.5228773,0.3803538,0.0002123206,0.00001682243,0.0001119641,0.000006485224,0.00001088532,0.00008642858],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.3987607,"threshold_uncertainty_score":0.2667181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0945304812821266,"score_gpt":0.3731114856269852,"score_spread":0.2785810043448586,"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."}}