{"id":"W7116215098","doi":"","title":"Spline Gaussian Cluster-Weighted Models","year":2025,"lang":"en","type":"other","venue":"cIRcle (University of British Columbia)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Spline (mechanical); Gaussian; Smoothing spline; Polynomial regression; Gaussian process; Smoothing; Nonparametric regression; Categorical variable; Parametric statistics; Range (aeronautics)","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":[0.005637938,0.001417982,0.002213951,0.002324047,0.0009082248,0.002426019,0.005627065,0.002676172,0.008956411],"category_scores_gemma":[0.01658114,0.001096978,0.002700506,0.00368957,0.001710088,0.002937965,0.002390201,0.002977359,0.003031529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001686249,"about_ca_system_score_gemma":0.00206646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01644185,"about_ca_topic_score_gemma":0.01451616,"domain_scores_codex":[0.9972352,0.001154167,0.0001172603,0.0008316361,0.0003967111,0.0002650667],"domain_scores_gemma":[0.9943505,0.00298029,0.0005379622,0.0007317416,0.001189156,0.0002104524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002321192,0.0000773374,0.005332442,0.0002201739,0.0002480199,0.0001759724,0.0003696608,0.7123447,0.0008949859,0.2133593,0.008719318,0.05802604],"study_design_scores_gemma":[0.00001663801,0.00001549279,0.0004490103,0.00002635275,0.00002304975,0.00003025386,0.000027321,0.9371446,0.0001459286,0.05938122,0.002717507,0.0000227365],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01386008,0.0004807612,0.981187,0.0003292592,0.00008020182,0.00009644008,0.00126349,0.0006968138,0.00200596],"genre_scores_gemma":[0.5348011,0.001850924,0.4220149,0.0007458951,0.0003108477,0.001105727,0.00840242,0.001217082,0.02955105],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01644185,"threshold_uncertainty_score":0.03269231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008649384979241235,"score_gpt":0.1833369569571705,"score_spread":0.1746875719779293,"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."}}