{"id":"W2123140796","doi":"10.1002/cjs.10076","title":"Semiparametric median residual life model and inference","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Residual; Covariate; Identifiability; Mathematics; Estimator; Statistics; Quantile; Statistical inference; Inference; Econometrics; Applied mathematics; Computer science; Algorithm; Artificial intelligence","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0002557698,0.00009196386,0.0001728751,0.0002054256,0.0001367707,0.00007478721,0.0001432369,0.00007526617,0.0003238889],"category_scores_gemma":[0.01276734,0.00008738512,0.00001724212,0.0001980264,0.0002148704,0.00007226427,0.000007905059,0.0003692083,0.00001273482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003360939,"about_ca_system_score_gemma":0.001405626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001947319,"about_ca_topic_score_gemma":0.00684973,"domain_scores_codex":[0.9991184,0.00001953446,0.0004072225,0.0000833046,0.0001794313,0.0001921327],"domain_scores_gemma":[0.9971139,0.0009959983,0.0002100855,0.0001279702,0.0004484753,0.001103611],"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":[0.000001828539,0.00001108144,0.0005010904,0.00001710047,0.00001036525,0.00001449877,0.0001359231,0.00004557439,0.00004325156,0.9617705,0.0344014,0.003047401],"study_design_scores_gemma":[0.0003618868,0.00004365321,0.01107705,0.00002089084,0.00007348559,0.0000752221,0.00009916715,0.05274018,0.00003053581,0.9333761,0.001927408,0.0001743749],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03735816,0.00002364285,0.9585438,0.001116437,0.0001416663,0.00007816432,0.001997383,0.000007680341,0.0007330321],"genre_scores_gemma":[0.7304216,0.000008760334,0.2692604,0.0001572454,0.00005531964,0.000002015255,0.00001716739,0.000008816878,0.00006870449],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6930634,"threshold_uncertainty_score":0.9955485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07802733881273224,"score_gpt":0.3398971357908451,"score_spread":0.2618697969781129,"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."}}