{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04940305,0.001705795,0.002993242,0.003294236,0.001711205,0.003893038,0.003406445,0.003461359,0.007005746],"category_scores_gemma":[0.2526227,0.001721792,0.002729426,0.004992179,0.005673549,0.007040733,0.004842803,0.006060994,0.001114483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002040188,"about_ca_system_score_gemma":0.003648371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003240399,"about_ca_topic_score_gemma":0.002350348,"domain_scores_codex":[0.9423723,0.04111264,0.003231431,0.006922028,0.005176761,0.001184925],"domain_scores_gemma":[0.6192512,0.3359647,0.01712109,0.01665802,0.009588738,0.00141632],"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":[0.00014419,0.00008821551,0.003954957,0.0004871572,0.0003580222,0.0005063764,0.000611021,0.113412,0.0006634297,0.8251547,0.004156607,0.05046335],"study_design_scores_gemma":[0.00002934193,0.00004515423,0.0005244773,0.0001533619,0.00003969815,0.00009329543,0.00006255547,0.1007756,0.0003085788,0.8962865,0.001645423,0.00003597428],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01139846,0.0006311238,0.9831132,0.001540256,0.00007940768,0.00008849135,0.0005890735,0.0001686642,0.002391411],"genre_scores_gemma":[0.5355848,0.002511368,0.450238,0.001916352,0.0008198737,0.001344896,0.002751068,0.0004767445,0.004356908],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04940305,"threshold_uncertainty_score":0.2612715,"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."}}