{"id":"W2038987761","doi":"10.1002/cjs.5550350208","title":"Local likelihood with time‐varying additive hazards model","year":2007,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Department of Defense","keywords":"Estimator; Mathematics; Maximum likelihood; Applied mathematics; Variance (accounting); Statistics; Restricted maximum likelihood; Stability (learning theory); Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.01196928,0.0006448805,0.001786729,0.001228403,0.0004002317,0.001325103,0.004050747,0.001416287,0.005272534],"category_scores_gemma":[0.04436791,0.0005847783,0.00136082,0.001535278,0.001792217,0.001855901,0.002110387,0.002133685,0.0007964909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001184732,"about_ca_system_score_gemma":0.001372864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003428845,"about_ca_topic_score_gemma":0.002571843,"domain_scores_codex":[0.9921728,0.006315535,0.0001080563,0.0005001107,0.0006893352,0.0002141585],"domain_scores_gemma":[0.9719433,0.0245315,0.001069211,0.001265676,0.0008732618,0.0003170484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003698187,0.00008086028,0.004428822,0.0003394483,0.0003323863,0.0006099316,0.0003844793,0.6636446,0.001005472,0.2417233,0.003448262,0.08363272],"study_design_scores_gemma":[0.0000693886,0.00007953295,0.0008092251,0.00003804575,0.00006196632,0.0001747685,0.00005588488,0.8846816,0.0004648645,0.1116582,0.00187009,0.00003650536],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004992563,0.0002085186,0.9937927,0.0002560516,0.00002146101,0.00002828071,0.00004197425,0.0001048879,0.0005536141],"genre_scores_gemma":[0.5821314,0.0009169266,0.4054052,0.0004124944,0.000308378,0.000590689,0.0003900254,0.0003079095,0.009537038],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01196928,"threshold_uncertainty_score":0.06330037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04081513695276729,"score_gpt":0.3013186055202764,"score_spread":0.2605034685675091,"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."}}