{"id":"W2966106702","doi":"10.1007/978-3-030-17519-1_10","title":"Penalized Relative Error Estimation of a Partially Functional Linear Multiplicative Model","year":2019,"lang":"en","type":"book-chapter","venue":"Contributions to statistics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Brock University","funders":"","keywords":"Multiplicative function; Estimation; Mathematics; Applied mathematics; Approximation error; Statistics; Econometrics; Algorithm; Computer science; Economics; Mathematical analysis","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":[0.007040442,0.001609736,0.001711087,0.0008761883,0.0003311492,0.001732178,0.002932447,0.001995188,0.003201012],"category_scores_gemma":[0.02520021,0.001288379,0.001350101,0.001092594,0.002029314,0.002910479,0.00257603,0.002813109,0.0008850233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001080501,"about_ca_system_score_gemma":0.001098995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002906926,"about_ca_topic_score_gemma":0.002313972,"domain_scores_codex":[0.9961689,0.002539156,0.0001308668,0.0005665677,0.0004958577,0.00009862527],"domain_scores_gemma":[0.9879823,0.0100734,0.0004263728,0.00071838,0.0006814847,0.0001180801],"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":[0.0001317666,0.00005342825,0.0006236012,0.0003965503,0.0002349366,0.00009875003,0.0001525299,0.5710573,0.003019383,0.3088925,0.004951566,0.1103878],"study_design_scores_gemma":[0.000004925678,0.00002212535,0.0001372072,0.00002401538,0.00002152314,0.00003909719,0.00000696975,0.9361343,0.000570801,0.06159824,0.001422915,0.0000178958],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001133739,0.0002256198,0.9979913,0.0001162528,0.00003039773,0.000004767005,0.0000266615,0.00005957021,0.0004117646],"genre_scores_gemma":[0.1459075,0.001580446,0.835043,0.0003412776,0.000460676,0.0001976408,0.0005899789,0.0004928269,0.01538665],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007040442,"threshold_uncertainty_score":0.03723383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1282338785798527,"score_gpt":0.4026128983094234,"score_spread":0.2743790197295707,"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."}}