{"id":"W2604563812","doi":"10.1002/ecy.1851","title":"Age and years to death disparately influence reproductive allocation in a short‐lived bird","year":2017,"lang":"en","type":"article","venue":"Ecology","topic":"Animal Behavior and Reproduction","field":"Agricultural and Biological Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia; National Science Foundation","keywords":"Senescence; Reproduction; Demography; Biology; Population; Ecology; Time allocation; Gerontology; Medicine; Sociology","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001594577,0.00005598773,0.0000951338,0.0000106913,0.0001462135,0.00003667479,0.0001195343,0.00006114695,0.00002254908],"category_scores_gemma":[0.0001510602,0.00002525892,0.00001281534,0.00004942802,0.00006680009,0.0001115531,0.00007924162,0.00006418936,0.00003981366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000196039,"about_ca_system_score_gemma":0.000003445785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001173739,"about_ca_topic_score_gemma":0.007019303,"domain_scores_codex":[0.9993494,0.00003042604,0.00009099833,0.0003529869,0.00004129277,0.0001348662],"domain_scores_gemma":[0.9998006,0.00001680717,0.00002565475,0.00008779131,0.00002738148,0.00004178425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003046152,0.00003128054,0.6885422,7.060121e-7,0.000001488327,0.00002029329,0.0002103063,0.00000630232,0.2974088,0.00006238614,0.00002537919,0.01366041],"study_design_scores_gemma":[0.00003563643,0.0002097992,0.9975428,0.000003056624,0.0000031217,0.00000654017,0.00009103578,0.00000193041,0.001369421,0.0001529114,0.0005169177,0.00006685721],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980918,0.00001706482,2.59929e-7,0.001464871,0.00009981482,0.0001915707,0.000001235022,0.00002369994,0.0001096376],"genre_scores_gemma":[0.9995558,0.00002259695,0.00004011114,0.0000634889,0.0001067066,0.00002675637,0.000002554758,6.388469e-7,0.0001813338],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3090006,"threshold_uncertainty_score":0.3916936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04766787778477995,"score_gpt":0.2925189132542589,"score_spread":0.244851035469479,"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."}}