{"id":"W2179506555","doi":"10.2193/0022-541x(2006)70[1544:aromte]2.0.co;2","title":"A Review of Methods to Estimate Cause-Specific Mortality in Presence of Competing Risks","year":2006,"lang":"en","type":"review","venue":"Journal of Wildlife Management","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":183,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Natural Resources and Forestry","funders":"","keywords":"Estimator; Context (archaeology); Hazard; Nonparametric statistics; Econometrics; Computer science; Statistics; Ecology; Mathematics; 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":[0.005655334,0.002334812,0.003727195,0.004874564,0.0003605509,0.001204011,0.00396584,0.002216742,0.004932054],"category_scores_gemma":[0.01213326,0.0008769956,0.001965699,0.004658777,0.00122521,0.001963184,0.0008344984,0.002107102,0.003323949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001136105,"about_ca_system_score_gemma":0.001613279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003814414,"about_ca_topic_score_gemma":0.003367619,"domain_scores_codex":[0.9977666,0.0009353615,0.0002530417,0.000374743,0.0006196156,0.00005075818],"domain_scores_gemma":[0.9895182,0.00864882,0.0004826632,0.0002525238,0.0009889766,0.0001087743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00003864459,0.00006023092,0.0008332947,0.01076088,0.0002852961,0.0001615794,0.00008094274,0.002512163,0.0003400943,0.005818009,0.01298617,0.9661229],"study_design_scores_gemma":[0.00008275126,0.0003819278,0.008535773,0.01987831,0.001177068,0.006279261,0.0002623409,0.008812036,0.001537356,0.04781698,0.9048331,0.0004031786],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000249744,0.9557362,0.04054828,0.0007202543,0.0005782986,0.0000502236,0.0001594642,0.0001042827,0.001853264],"genre_scores_gemma":[0.00284965,0.9593628,0.03513576,0.0004670972,0.00064197,0.000152946,0.0001949562,0.00003993612,0.001154945],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005655334,"threshold_uncertainty_score":0.0299086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1085483116641777,"score_gpt":0.4436285909244392,"score_spread":0.3350802792602615,"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."}}