{"id":"W2168912024","doi":"10.1093/aje/kwh201","title":"A Proportional Hazards Model with Time-dependent Covariates and Time-varying Effects for Analysis of Fetal and Infant Death","year":2004,"lang":"en","type":"article","venue":"American Journal of Epidemiology","topic":"Birth, Development, and Health","field":"Medicine","cited_by":134,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","keywords":"Hazard ratio; Medicine; Confidence interval; Proportional hazards model; Gestational age; Gestation; Infant mortality; Pregnancy; Obstetrics; Demography; Population; Internal medicine; Environmental health; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0171658,0.001906092,0.002267462,0.001729605,0.0008294355,0.00204174,0.004671639,0.002550846,0.007608127],"category_scores_gemma":[0.02763065,0.001322561,0.004886266,0.001968442,0.0006837353,0.001675009,0.001864998,0.005389282,0.001141886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00185791,"about_ca_system_score_gemma":0.0037792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01187812,"about_ca_topic_score_gemma":0.009521892,"domain_scores_codex":[0.991299,0.00644742,0.0003064331,0.001028473,0.0005321407,0.0003866097],"domain_scores_gemma":[0.9858834,0.01211417,0.0006087438,0.0006598131,0.0005137718,0.0002200018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004612876,0.0007806461,0.04884318,0.00205263,0.00862336,0.002100768,0.001042222,0.5738568,0.002177552,0.1690115,0.02859322,0.1583053],"study_design_scores_gemma":[0.0007478832,0.0008734923,0.004293841,0.0001902741,0.001791743,0.000516145,0.0001280109,0.9070951,0.0002730947,0.06151292,0.02244108,0.0001363795],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03272272,0.003338911,0.9527679,0.003262785,0.00134037,0.000868035,0.003045426,0.000921898,0.001731967],"genre_scores_gemma":[0.5357302,0.005810196,0.410628,0.002163714,0.001555409,0.008786015,0.006612637,0.0005009545,0.02821296],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0171658,"threshold_uncertainty_score":0.09078258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02492019962872306,"score_gpt":0.334614668829962,"score_spread":0.3096944692012389,"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."}}