{"id":"W2079560246","doi":"10.1002/pds.1614","title":"Exclusion of immortal person‐time","year":2008,"lang":"en","type":"letter","venue":"Pharmacoepidemiology and Drug Safety","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Biostatistics; Epidemiology; Medicine; Public health; Pharmacoepidemiology; Observational study; Family medicine; Library science; Gerontology; Medical prescription; Pathology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"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":["metaresearch","metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.009529319,0.0005476275,0.002858988,0.0001318219,0.0001838258,0.000003324186,0.0004322444,0.001335416,0.00195284],"category_scores_gemma":[0.08230403,0.0004401531,0.0004778078,0.0001247978,0.001082939,0.00004774873,0.0002714995,0.002999874,0.00006988009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004485549,"about_ca_system_score_gemma":0.00007746543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003653956,"about_ca_topic_score_gemma":4.965363e-7,"domain_scores_codex":[0.9875383,0.008611441,0.002039323,0.0008482331,0.0003206478,0.0006420897],"domain_scores_gemma":[0.8046606,0.1936298,0.001031301,0.0004383712,0.0001080444,0.0001318459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002409274,0.00005560525,0.0001973989,0.0004937935,0.0002751134,0.0001996898,0.0001227963,0.000001105937,0.0000897331,0.001112762,0.9925559,0.004655154],"study_design_scores_gemma":[0.002946373,0.0001602527,0.0005110995,0.0003563427,0.00125291,0.0002709302,0.00002154113,0.001908166,0.0002776592,0.4581985,0.5329723,0.001123943],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001777827,0.002966262,0.02948975,0.9453933,0.003806369,0.001704816,0.001630452,0.0003117362,0.01291953],"genre_scores_gemma":[0.0004699459,0.004275838,0.4808111,0.5022301,0.007330668,0.00005624782,0.0001312562,0.0001504376,0.004544458],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.4595836,"threshold_uncertainty_score":0.9999611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4580469138931446,"score_gpt":0.5335704982226009,"score_spread":0.07552358432945633,"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."}}