{"id":"W2588791510","doi":"10.1007/s00442-017-3836-1","title":"An evaluation of feather corticosterone as a biomarker of fitness and an ecologically relevant stressor during breeding in the wild","year":2017,"lang":"en","type":"article","venue":"Oecologia","topic":"Animal Behavior and Reproduction","field":"Agricultural and Biological Sciences","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation; Government of Ontario","keywords":"Feather; Biology; Moulting; Corticosterone; Reproductive success; Reproduction; Seasonal breeder; Flight feather; Stressor; Zoology; Ecology; Paternal care; Nest (protein structural motif); Endocrinology; Demography; Hormone; Larva; Population; Offspring","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":[0.001008043,0.00006985335,0.0001266964,0.000009785724,0.0002063074,0.00003930983,0.0002333025,0.00008834655,0.0001863854],"category_scores_gemma":[0.0001850395,0.00002278911,0.00002272945,0.00004826253,0.0001554536,0.0001951772,0.0000484722,0.00006242921,0.000001020573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001487845,"about_ca_system_score_gemma":0.000005950864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002325401,"about_ca_topic_score_gemma":0.001028939,"domain_scores_codex":[0.9991305,0.0001630603,0.0001755996,0.000223581,0.0001910343,0.0001162528],"domain_scores_gemma":[0.9995109,0.00004848359,0.0002084426,0.0001136205,0.00009372894,0.00002476518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00007085724,0.0001761457,0.3951353,0.000003636912,0.000002529856,0.000001635689,0.0001066961,0.000002650837,0.5656733,0.00002335806,0.00000185519,0.03880203],"study_design_scores_gemma":[0.0002036587,0.001224326,0.992987,0.00001151922,0.00002691153,0.000007211894,0.0007192389,0.0001708818,0.004383954,0.0002029097,0.000004035816,0.00005830936],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990323,0.00003360329,1.214021e-7,0.0003009534,0.00005367025,0.0002841896,0.000005479589,0.000007946903,0.0002818018],"genre_scores_gemma":[0.9998707,0.00001857788,0.00002005621,0.000009500362,0.00003925788,0.00001846965,0.000006243155,5.560411e-7,0.00001660046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5978518,"threshold_uncertainty_score":0.2040789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07405036256878587,"score_gpt":0.3315746541455736,"score_spread":0.2575242915767877,"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."}}