{"id":"W2925324768","doi":"10.1002/cjs.11492","title":"Linear mode regression with covariate measurement error","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Covariate; Estimator; Statistics; Observational error; Mathematics; Inference; Regression analysis; Linear regression; Regression; Statistical inference; Errors-in-variables models; Econometrics; Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02876843,0.001289619,0.002044762,0.0009370066,0.0005232305,0.001474762,0.003398025,0.001938572,0.00331235],"category_scores_gemma":[0.1176899,0.0007323861,0.00152246,0.001734427,0.001835045,0.002184262,0.002082766,0.003215602,0.0009481374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001442953,"about_ca_system_score_gemma":0.001657279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007474465,"about_ca_topic_score_gemma":0.004341015,"domain_scores_codex":[0.9823316,0.01306494,0.0003388955,0.002587537,0.001257155,0.0004198902],"domain_scores_gemma":[0.9132266,0.06860669,0.00589566,0.008362171,0.003427354,0.0004815216],"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":[0.0006607753,0.0002307096,0.03426003,0.000441407,0.0009232477,0.0004141846,0.0005349912,0.5781809,0.00288907,0.2350634,0.003740585,0.1426608],"study_design_scores_gemma":[0.00004879999,0.0001536442,0.005004744,0.00006172962,0.0001078997,0.00009450448,0.00004291877,0.8846301,0.001137412,0.1069875,0.001670561,0.00006016381],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01880488,0.0002095078,0.9796978,0.0003140589,0.00004658818,0.00006125496,0.0001140163,0.0001935715,0.0005583536],"genre_scores_gemma":[0.6964488,0.0005245267,0.2952021,0.0004902587,0.0002266356,0.0004080873,0.0004137914,0.0001629345,0.006122807],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02876843,"threshold_uncertainty_score":0.1521438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1847865007814968,"score_gpt":0.3546108172006761,"score_spread":0.1698243164191793,"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."}}