{"id":"W2765994858","doi":"10.1002/cjs.11344","title":"Regression analysis of bivariate current status data under the proportional hazards model","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Bivariate analysis; Copula (linguistics); Estimator; Mathematics; Statistics; Regression analysis; Econometrics; Asymptotic distribution; Applied mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001158656,0.0001290368,0.0004262312,0.0002235846,0.0003684458,0.0001320221,0.0009475651,0.00004845492,0.0002539963],"category_scores_gemma":[0.006388146,0.0000793266,0.00007047497,0.0001419414,0.0003798013,0.0001322488,0.00008535485,0.0003077609,0.000001189121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008795975,"about_ca_system_score_gemma":0.00261166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001581533,"about_ca_topic_score_gemma":0.009317806,"domain_scores_codex":[0.9983121,0.0001108094,0.000710752,0.0001451316,0.0004383949,0.0002828548],"domain_scores_gemma":[0.9958358,0.0007274578,0.001291394,0.0009668447,0.0007298315,0.0004486829],"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":[0.0000210715,0.00004128359,0.004259103,0.00006109648,0.0005883559,0.00003600293,0.0002593151,0.0008799313,0.00001539539,0.9270341,0.01849478,0.0483095],"study_design_scores_gemma":[0.0002396719,0.00005253943,0.04915164,0.0001285384,0.001563491,0.000008072313,0.0001043198,0.2945643,0.00001066233,0.6530126,0.001034237,0.000129875],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006657236,0.0001972239,0.9838042,0.0003562717,0.0003648976,0.00007643715,0.008222608,0.000001728463,0.0003193748],"genre_scores_gemma":[0.4678214,0.0001329714,0.5317809,0.00003788173,0.00008194937,9.859494e-7,0.00005849891,0.00001537667,0.00006999786],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4611642,"threshold_uncertainty_score":0.7647669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3087236270698228,"score_gpt":0.442256591946153,"score_spread":0.1335329648763302,"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."}}