{"id":"W2914931499","doi":"10.1002/9781118445112.stat05747","title":"Errors in Variables","year":2014,"lang":"en","type":"other","venue":"Wiley StatsRef: Statistics Reference Online","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"HIV Legal Network","funders":"","keywords":"Statistics; Linear regression; Mathematics; Logistic regression; Proper linear model; Regression dilution; Linear predictor function; Standardized coefficient; Regression analysis; Variables; Regression; Segmented regression; Degree (music); Econometrics; Regression diagnostic; Polynomial regression; Physics","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005346991,0.0008342892,0.001518694,0.0005012023,0.00006219127,0.00004595329,0.0005731421,0.0006287835,0.004117901],"category_scores_gemma":[0.002920487,0.0007551482,0.00006525804,0.0003109422,0.0002754423,0.0000503365,0.0001874996,0.001039064,0.0001408964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001488556,"about_ca_system_score_gemma":0.0002375347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003856686,"about_ca_topic_score_gemma":0.003899275,"domain_scores_codex":[0.9958929,0.0004061649,0.001109325,0.001008116,0.0006738778,0.0009095612],"domain_scores_gemma":[0.9956889,0.002108427,0.0007305029,0.0009912297,0.0001550586,0.0003258807],"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":[0.00003009941,0.000336019,0.00001440944,0.0006192494,0.00005708134,0.00007761387,0.00005052683,0.00002052131,0.00001131347,0.6453667,0.3246594,0.028757],"study_design_scores_gemma":[0.0006566003,0.0001333673,0.00001494292,0.001072957,0.00009317208,0.000004954068,0.00004128213,0.002936801,0.000002364247,0.6719778,0.3223366,0.0007291993],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000004856039,0.0003209696,0.8770765,0.00003850656,0.0003702081,0.0005591397,0.02729871,0.0002749917,0.09405609],"genre_scores_gemma":[0.00003894154,0.001247631,0.811017,0.0001303136,0.0002407967,0.00005812292,0.002008522,0.0007956491,0.184463],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.09040688,"threshold_uncertainty_score":0.99949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1327357901896966,"score_gpt":0.4307766640673848,"score_spread":0.2980408738776882,"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."}}