{"id":"W2916152223","doi":"10.5539/ijsp.v8n2p159","title":"Iterative Approaches to Handling Heteroscedasticity With Partially Known Error Variances","year":2019,"lang":"en","type":"article","venue":"International Journal of Statistics and Probability","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Heteroscedasticity; Mathematics; Statistics; Mean squared error; Econometrics; Linear regression; Data set; Linear model","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":[0.02171424,0.002530183,0.002280922,0.002435566,0.001251789,0.002473598,0.005082308,0.001809283,0.003009581],"category_scores_gemma":[0.05919649,0.001688751,0.003715411,0.003804313,0.002309554,0.002860593,0.004483229,0.004813152,0.001282738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001524206,"about_ca_system_score_gemma":0.004224519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004799217,"about_ca_topic_score_gemma":0.006851587,"domain_scores_codex":[0.9781504,0.01385336,0.001436115,0.002496238,0.003654198,0.0004097775],"domain_scores_gemma":[0.9615124,0.02796668,0.00286217,0.003905628,0.003561367,0.0001917187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001527559,0.0002039365,0.006180807,0.001362821,0.001971369,0.0004555703,0.002006236,0.2995617,0.005777977,0.1972551,0.002735876,0.4823358],"study_design_scores_gemma":[0.00004172034,0.0002280019,0.001768914,0.0002125222,0.0002091557,0.0002464165,0.0002221289,0.7864733,0.005776107,0.1954376,0.009242722,0.0001414399],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0006891947,0.0001275124,0.9988193,0.00004255463,0.00001176201,0.00003692731,0.00001285317,0.00008129857,0.0001785643],"genre_scores_gemma":[0.02944287,0.0004741324,0.9683992,0.0001041646,0.00006498374,0.0004674568,0.0001378819,0.0001175577,0.0007918159],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02171424,"threshold_uncertainty_score":0.1148372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1974723025538693,"score_gpt":0.3913429177831959,"score_spread":0.1938706152293266,"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."}}