{"id":"W1883726542","doi":"10.1111/j.1467-9868.2012.01044.x","title":"Inference for Linear Models with Dependent Errors","year":2012,"lang":"en","type":"article","venue":"Journal of the Royal Statistical Society Series B (Statistical Methodology)","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Science Foundation","keywords":"Estimator; Asymptotic distribution; Mathematics; Series (stratigraphy); Applied mathematics; Statistic; Inference; Sequence (biology); Linear regression; Statistics; Statistical inference; Computer science; Artificial intelligence","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":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005133909,0.0004601426,0.001199192,0.00003763174,0.0003889014,0.00006007789,0.0006733535,0.0003114902,0.000440277],"category_scores_gemma":[0.03422763,0.000262523,0.0003393501,0.0002219361,0.001172161,0.0002430122,0.0002277371,0.001060689,0.000005895293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000165815,"about_ca_system_score_gemma":0.0002523316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002862718,"about_ca_topic_score_gemma":0.000009533181,"domain_scores_codex":[0.9947665,0.001646223,0.001331258,0.0003387203,0.0008795015,0.001037744],"domain_scores_gemma":[0.9602926,0.0371825,0.0007834318,0.0004151178,0.0006962355,0.0006301287],"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":[0.0008438724,0.0002980269,0.0006554573,0.0002662824,0.0003263115,0.000009520136,0.0006762115,0.000390056,0.00006707871,0.982559,0.006180645,0.007727589],"study_design_scores_gemma":[0.001157776,0.001284299,0.002873435,0.000110564,0.0007763999,0.0001399094,0.0006432959,0.01620953,0.0004330893,0.9744006,0.001519896,0.0004512094],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002560539,0.0001103211,0.9939915,0.0007713446,0.0008881097,0.0004869811,0.000751804,0.0000338084,0.0004055727],"genre_scores_gemma":[0.06062938,0.00001978033,0.9379987,0.0004642532,0.0004754959,0.00004059539,0.000005382758,0.00006289747,0.0003035441],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05806885,"threshold_uncertainty_score":0.9999827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2114375077142203,"score_gpt":0.4202909786913624,"score_spread":0.2088534709771421,"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."}}