{"id":"W7024457258","doi":"","title":"Regularized regression in generalized linear measurement error models with instrumental variables -variable selection and parameter estimation","year":2020,"lang":"en","type":"dissertation","venue":"Mspace (University of Manitoba)","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Estimator; Covariate; Instrumental variable; Feature selection; Estimation theory; Regularization (linguistics); Linear regression; Generalized linear model; Model selection","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":[],"consensus_categories":[],"category_scores_codex":[0.000367065,0.0002380979,0.0005172701,0.0001567626,0.0001256701,0.00002361836,0.0001251413,0.0002473735,0.00001893908],"category_scores_gemma":[0.0002941974,0.0002376441,0.00004101153,0.0002633592,0.00004297787,0.0001961752,0.00004010748,0.0002743107,0.000001123296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001784848,"about_ca_system_score_gemma":0.0001348932,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001222795,"about_ca_topic_score_gemma":0.02612645,"domain_scores_codex":[0.9985698,0.0002110305,0.0001905619,0.000371039,0.000482537,0.0001750725],"domain_scores_gemma":[0.9990516,0.0001539337,0.0003522906,0.0001509387,0.0002113345,0.00007985396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01268946,0.001189615,0.003955155,0.008334527,0.001057854,0.0001001749,0.006221476,0.005563614,0.03210153,0.9038169,0.001969973,0.02299969],"study_design_scores_gemma":[0.002613809,0.000361046,0.003028235,0.001628646,0.0003985837,0.000005566922,0.004729797,0.813216,0.001438245,0.1720819,0.00006085738,0.0004373671],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3174709,0.00003355418,0.6806445,0.0001537541,0.00008630524,0.0005759913,0.00002253989,0.00005192067,0.000960534],"genre_scores_gemma":[0.07844219,0.00003123628,0.9212357,0.000008983166,0.00001380165,0.000002636045,0.00009968033,0.00002562726,0.0001400832],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8076524,"threshold_uncertainty_score":0.9916442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07511013919568986,"score_gpt":0.2817907176985083,"score_spread":0.2066805785028185,"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."}}