{"id":"W2094506433","doi":"10.1111/j.1467-9868.2005.00488.x","title":"Bivariate Location–Scale Models for Regression Analysis, with Applications to Lifetime Data","year":2004,"lang":"en","type":"article","venue":"Journal of the Royal Statistical Society Series B (Statistical Methodology)","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Lunenfeld-Tanenbaum Research Institute","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bivariate analysis; Univariate; Multivariate statistics; Estimator; Statistics; Econometrics; Regression analysis; Scale (ratio); Bivariate data; Linear regression; Mathematics; Computer science; Geography","routes":{"ca_aff":true,"ca_fund":true,"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"],"consensus_categories":[],"category_scores_codex":[0.003966577,0.0003957996,0.001242235,0.00008376752,0.0004894483,0.0001136253,0.001355009,0.000237663,0.000157059],"category_scores_gemma":[0.01408143,0.0002302296,0.0002591788,0.001057809,0.000738945,0.0001776045,0.0004534361,0.0006582388,0.000006661313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001853519,"about_ca_system_score_gemma":0.0004276086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007000809,"about_ca_topic_score_gemma":0.00004990005,"domain_scores_codex":[0.9956684,0.000950357,0.001346797,0.0006343268,0.0007855609,0.0006145215],"domain_scores_gemma":[0.981207,0.0154078,0.0007284111,0.001089368,0.001009769,0.0005576691],"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":[0.0007314158,0.000310382,0.00008158493,0.0002028178,0.0009793348,0.000006597753,0.0004178618,0.01185985,0.0000587964,0.9706335,0.006741465,0.007976405],"study_design_scores_gemma":[0.0009663133,0.0007737991,0.001959963,0.0001153904,0.002827829,0.00003755734,0.0003053859,0.02761986,0.0001318181,0.9630285,0.001880348,0.0003532211],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001967527,0.0000665894,0.9928315,0.003271142,0.0002047782,0.0008564212,0.00240457,0.00003574989,0.0001325188],"genre_scores_gemma":[0.008732238,0.00001593758,0.9899632,0.0006491903,0.0002696906,0.00009637589,0.00005974666,0.00005089365,0.0001627334],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01576,"threshold_uncertainty_score":0.9942234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1964089436057957,"score_gpt":0.4293166680631308,"score_spread":0.232907724457335,"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."}}