{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009816744,0.0006590736,0.001374206,0.001368288,0.0003857709,0.001827175,0.003205061,0.001817943,0.009132932],"category_scores_gemma":[0.0384863,0.0005738094,0.001501012,0.00141322,0.001740696,0.002740215,0.002240803,0.002645404,0.001193579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001726751,"about_ca_system_score_gemma":0.001324962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003645959,"about_ca_topic_score_gemma":0.002461625,"domain_scores_codex":[0.9946271,0.003649791,0.0001565774,0.0007133823,0.0005763597,0.0002768019],"domain_scores_gemma":[0.9833487,0.01091033,0.002048295,0.002023497,0.00139811,0.0002711314],"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":[0.0001068172,0.00007807718,0.004828569,0.0001966467,0.0001768718,0.0002498446,0.0002725279,0.2502663,0.0005050076,0.6713655,0.006486888,0.06546688],"study_design_scores_gemma":[0.00002362839,0.00004083185,0.0009391706,0.000045389,0.0000312043,0.0001147112,0.0000509207,0.6478972,0.0002925744,0.3470198,0.003516378,0.00002819203],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006284099,0.0002370605,0.9910806,0.0004575198,0.00002651458,0.00002769138,0.0001991119,0.00018909,0.001498329],"genre_scores_gemma":[0.7009898,0.0008265417,0.2823229,0.0006846713,0.0001892564,0.0004762749,0.001168676,0.0001830428,0.01315873],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009816744,"threshold_uncertainty_score":0.05191654,"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."}}