{"id":"W4409657258","doi":"10.1098/rsbl.2024.0689","title":"Population density and timing of breeding mediate effects of early life conditions on recruitment","year":2025,"lang":"en","type":"article","venue":"Biology Letters","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; University of Windsor; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation; University of Guelph; National Science Foundation","keywords":"Biology; Juvenile; Fledge; Context (archaeology); Population; Seasonal breeder; Ecology; Density dependence; Selection (genetic algorithm); Offspring; Life history theory; Population density; Demography; Zoology; Life history; Predation","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0008559574,0.0002643515,0.0003374028,0.0002348275,0.0003461934,0.0005545251,0.0003384366,0.0003385636,0.003531687],"category_scores_gemma":[0.00269962,0.0002700826,0.0002424579,0.0001582644,0.0004974789,0.0002669391,0.0005185817,0.0003215708,0.0004217011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003404595,"about_ca_system_score_gemma":0.0005526635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01738698,"about_ca_topic_score_gemma":0.07871672,"domain_scores_codex":[0.9996951,0.0001271602,0.00001515466,0.00006931132,0.0000298778,0.0000634523],"domain_scores_gemma":[0.9976036,0.0009941905,0.0004848783,0.000146128,0.0001525947,0.0006187108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002925319,0.0001446232,0.9734793,0.000038624,0.0001165598,0.0001389627,0.0002635889,0.000298574,0.01656389,0.0001563176,0.0002549755,0.008252121],"study_design_scores_gemma":[0.000001412906,0.00002796798,0.9995585,0.000003124589,0.000009226783,0.00001456612,0.00003801109,0.0001610074,0.00008265793,0.00003049004,0.00007149846,0.000001519487],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975811,0.000161788,0.0003227939,0.00005723372,0.000008182007,0.000007830323,0.00007474615,0.000006770688,0.001779466],"genre_scores_gemma":[0.9985618,0.00007498749,0.0003272259,0.00004915095,0.00000749896,0.00000841163,0.00009157062,0.000007146215,0.0008721399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01738698,"threshold_uncertainty_score":0.03457153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02600718096597304,"score_gpt":0.2828749355999655,"score_spread":0.2568677546339924,"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."}}