{"id":"W4323848287","doi":"10.3390/jrfm16030186","title":"The Naive Estimator of a Poisson Regression Model with a Measurement Error","year":2023,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Estimator; Mathematics; Poisson distribution; Mean squared error; Statistics; Poisson regression; Efficient estimator; Bias of an estimator; Regression analysis; Applied mathematics; Errors-in-variables models; Minimum-variance unbiased estimator","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.01479248,0.0008605492,0.002070149,0.001545965,0.0006447902,0.002581985,0.003984989,0.002431289,0.003104637],"category_scores_gemma":[0.07317361,0.0008016935,0.001510671,0.002124368,0.001982328,0.005605614,0.00256366,0.002933039,0.0007669473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001143989,"about_ca_system_score_gemma":0.002579558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003385009,"about_ca_topic_score_gemma":0.002811715,"domain_scores_codex":[0.9871275,0.006569963,0.0006557706,0.002277784,0.002886339,0.0004826251],"domain_scores_gemma":[0.9752007,0.0145693,0.002742609,0.00388943,0.003324661,0.0002732389],"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":[0.000156195,0.0001511081,0.01263626,0.000542114,0.0003806437,0.0004721555,0.0004469766,0.08443666,0.001959249,0.7030681,0.006339638,0.189411],"study_design_scores_gemma":[0.0001106769,0.0001835362,0.003168651,0.0001597269,0.0001576356,0.0007741902,0.0001005425,0.521058,0.001207713,0.4664559,0.006511112,0.0001123438],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006700581,0.0003564951,0.9910482,0.0004314758,0.0001109249,0.00006116474,0.00006111809,0.0001056382,0.001124473],"genre_scores_gemma":[0.3614781,0.001343635,0.6280018,0.001415444,0.0006001519,0.0005984927,0.0004769168,0.00009063289,0.005994992],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01479248,"threshold_uncertainty_score":0.0782311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05993783842101228,"score_gpt":0.3354677520603373,"score_spread":0.275529913639325,"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."}}