{"id":"W4298021621","doi":"","title":"Assessing influence on ridge estimates in functional measurement error models","year":2007,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Ridge; Observational error; Computer science; Statistics; Geology; Econometrics; Mathematics; Paleontology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.01504494,0.0004108185,0.0005292419,0.0002729388,0.000232433,0.0002982641,0.0006119307,0.0003095604,0.00004714125],"category_scores_gemma":[0.01241546,0.0004161056,0.0001466696,0.0002621464,0.0001865869,0.0002795795,0.0006594897,0.001019896,0.000009624054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004313393,"about_ca_system_score_gemma":0.0003085813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002562294,"about_ca_topic_score_gemma":0.0005347565,"domain_scores_codex":[0.9935784,0.003273538,0.0008216538,0.0008665907,0.0009950903,0.0004647349],"domain_scores_gemma":[0.9888385,0.006712427,0.0005185141,0.001433058,0.00230973,0.0001877781],"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":[0.00004889074,0.001057673,0.000223938,0.0004431456,0.00005827803,0.00001518705,0.002233499,0.02859118,0.001496771,0.922483,0.0002108233,0.04313758],"study_design_scores_gemma":[0.0004201535,4.824701e-7,0.002264629,0.003765218,0.00003944903,0.000003759917,0.00006505086,0.2163694,0.007724282,0.7687315,0.0001862391,0.0004297751],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03745432,0.0002356422,0.9405506,0.001136948,0.0001571351,0.000478657,0.00005007716,0.0001674673,0.01976912],"genre_scores_gemma":[0.4046184,0.00004246143,0.5947717,0.00007933534,0.0000133953,0.00007570325,0.0000642202,0.00004487479,0.000289963],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.367164,"threshold_uncertainty_score":0.9998291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2071771965756356,"score_gpt":0.3936620513400169,"score_spread":0.1864848547643813,"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."}}