{"id":"W2950697249","doi":"10.1080/03610918.2019.1626881","title":"Simplex regression models with measurement error","year":2019,"lang":"en","type":"article","venue":"Communications in Statistics - Simulation and Computation","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Simplex; Observational error; Covariate; Monte Carlo method; Statistics; Errors-in-variables models; Regression analysis; Mathematics; Regression; Data set; Computer science; Algorithm; Applied mathematics","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":[0.0005543357,0.0001364769,0.0001710196,0.0001671701,0.0001474098,0.0001257039,0.0004396604,0.00005586717,0.000004207304],"category_scores_gemma":[0.00003579132,0.0001189505,0.00001460315,0.0003429298,0.00005236469,0.0004611404,0.000213846,0.0001611033,0.000007462685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007860921,"about_ca_system_score_gemma":0.00007424307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002003378,"about_ca_topic_score_gemma":0.00003791775,"domain_scores_codex":[0.9986339,0.0002793855,0.0003227697,0.0002859607,0.0003299395,0.0001480127],"domain_scores_gemma":[0.9982337,0.0004023386,0.0001591885,0.0008183437,0.0003272695,0.00005910242],"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":[0.00001393108,0.00006815517,0.0003428857,0.00002137954,0.000007744718,7.473024e-7,0.000990402,0.3027919,0.00002123537,0.4646333,0.00004787287,0.2310604],"study_design_scores_gemma":[0.0005149161,0.00004974805,0.002410376,0.00006144905,0.0000052639,0.000001883604,0.00002882571,0.8221925,0.000004508199,0.1742883,0.0003120523,0.0001301707],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002027007,0.0002233875,0.9952192,0.0003703727,0.00005466409,0.0003894586,0.000007315989,0.00006726178,0.001641312],"genre_scores_gemma":[0.5221166,0.00002329944,0.477718,0.00007993451,0.000003128808,0.00001010954,0.00002205194,0.000006116038,0.00002074517],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5200896,"threshold_uncertainty_score":0.485066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2173473843636596,"score_gpt":0.4357118961150921,"score_spread":0.2183645117514325,"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."}}