{"id":"W4395046903","doi":"10.1111/sjos.12717","title":"Empirical likelihood M‐estimation for the varying‐coefficient model with functional response","year":2024,"lang":"en","type":"article","venue":"Scandinavian Journal of Statistics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Quantile; Mathematics; Empirical likelihood; Estimator; Statistics; Nonparametric statistics; Likelihood-ratio test; Context (archaeology); Statistical inference; Inference; Econometrics; Score test; Artificial intelligence; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01766599,0.0009725227,0.001897376,0.001608632,0.0004966501,0.001619851,0.003773724,0.00215927,0.002687892],"category_scores_gemma":[0.0989559,0.000786222,0.001559664,0.001690819,0.002947009,0.002488263,0.002847434,0.003126644,0.0005476844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009805486,"about_ca_system_score_gemma":0.00152346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00268294,"about_ca_topic_score_gemma":0.001740542,"domain_scores_codex":[0.9917523,0.006212124,0.0002362355,0.001080894,0.0004590432,0.000259369],"domain_scores_gemma":[0.9247959,0.06687184,0.003181919,0.003342939,0.001389222,0.0004183151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004210588,0.0001580463,0.014649,0.0005906456,0.0004918757,0.0005476981,0.0005105453,0.5417664,0.003447981,0.3292701,0.002575964,0.1055707],"study_design_scores_gemma":[0.00004841601,0.00008159297,0.002281695,0.00005732325,0.00004327374,0.0001507724,0.00006798662,0.8865573,0.0007353256,0.1088442,0.001097225,0.00003480958],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01181653,0.0001512731,0.9873144,0.0002220017,0.000009819547,0.00003467868,0.00006292387,0.00009961535,0.0002886234],"genre_scores_gemma":[0.579181,0.0006018277,0.4155082,0.0003549488,0.0001389234,0.0006155539,0.0008832687,0.0001955802,0.002520692],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01766599,"threshold_uncertainty_score":0.09342784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1255272358237903,"score_gpt":0.3934123145954373,"score_spread":0.267885078771647,"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."}}