{"id":"W4385702490","doi":"10.1002/cjs.11786","title":"Identifiability constraints in generalized additive models","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Centring; Identifiability; Parametrization (atmospheric modeling); Constraint (computer-aided design); Mathematics; Gaussian; Applied mathematics; Covariate; Mathematical optimization; Econometrics; Statistics; Physics","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":[0.001455016,0.000134755,0.0004359531,0.0003256594,0.00007219644,0.00004016547,0.0001872035,0.00007064904,0.0004181838],"category_scores_gemma":[0.005672211,0.0001260064,0.00006106607,0.0003065333,0.0002894791,0.0001415656,0.00001269887,0.0002909427,0.00001417654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001942896,"about_ca_system_score_gemma":0.0008952913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004307909,"about_ca_topic_score_gemma":0.009858691,"domain_scores_codex":[0.9981123,0.0002410269,0.0008400346,0.0001532083,0.0002488196,0.0004045709],"domain_scores_gemma":[0.9967139,0.0018448,0.0002897185,0.0001728741,0.0004200811,0.0005585898],"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":[0.00001531906,0.00001654639,0.0001496017,0.00004356097,0.00002992585,0.00122861,0.0008771939,0.001286116,0.00002800769,0.9380257,0.02714108,0.0311583],"study_design_scores_gemma":[0.0004831553,0.00004122216,0.00071131,0.00005891551,0.00002270838,0.00003783422,0.0003133828,0.0141066,0.00002975179,0.9833372,0.0007297801,0.0001281402],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01533206,0.00002279569,0.9790084,0.0001180747,0.0003746509,0.0001427463,0.004083291,0.000009327856,0.0009086193],"genre_scores_gemma":[0.2692815,0.00003033099,0.7302209,0.00007559446,0.00006476289,0.000004568442,0.00002556287,0.00002725986,0.0002695546],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2539494,"threshold_uncertainty_score":0.6790576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1526842997394314,"score_gpt":0.3934781658602214,"score_spread":0.24079386612079,"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."}}