{"id":"W1971895612","doi":"10.1016/j.jmva.2006.11.008","title":"Randomly censored partially linear single-index models","year":2007,"lang":"en","type":"article","venue":"Journal of Multivariate Analysis","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Censored regression model; Estimator; Statistics; Nonparametric regression; Nonparametric statistics; Linear regression; Semiparametric regression; Accelerated failure time model; Regression analysis; Kernel regression; Kernel (algebra); Univariate; Linear model; Proportional hazards model; Multivariate statistics","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":[],"consensus_categories":[],"category_scores_codex":[0.003624659,0.0001862465,0.0008939627,0.0005189511,0.00007446236,0.00004580563,0.0002539878,0.0001250722,0.0002671036],"category_scores_gemma":[0.003957976,0.000133555,0.000622384,0.0008991464,0.00005289717,0.0001618417,0.00003755905,0.0003154125,0.000005913891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006535128,"about_ca_system_score_gemma":0.00005073656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005908063,"about_ca_topic_score_gemma":0.00004988782,"domain_scores_codex":[0.9972818,0.0002695841,0.001332031,0.0001716094,0.0006096938,0.0003352775],"domain_scores_gemma":[0.9949125,0.00287956,0.0009389659,0.0002618485,0.0007573115,0.0002498062],"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":[0.01432939,0.007666531,0.0183946,0.0003390801,0.04419896,0.002314401,0.01011913,0.1150753,0.07630776,0.5345432,0.002187053,0.1745247],"study_design_scores_gemma":[0.005821848,0.000394226,0.008973557,0.0001017927,0.006994449,0.00004021985,0.0002947111,0.5865257,0.005481922,0.384376,0.0005064395,0.0004890754],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0559459,0.00004252817,0.9423749,0.0001408824,0.0001201102,0.00006719217,0.000007201237,0.00001561449,0.001285595],"genre_scores_gemma":[0.5930027,0.00001070021,0.4066275,0.00004931682,0.0001711782,4.359643e-7,6.967122e-7,0.00001265389,0.0001248034],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5370568,"threshold_uncertainty_score":0.5446216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1021904846217799,"score_gpt":0.3928522296536574,"score_spread":0.2906617450318775,"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."}}