{"id":"W2549360045","doi":"10.1007/s00442-016-3774-3","title":"Effectiveness of baseline corticosterone as a monitoring tool for fitness: a meta-analysis in seabirds","year":2016,"lang":"en","type":"review","venue":"Oecologia","topic":"Animal Behavior and Reproduction","field":"Agricultural and Biological Sciences","cited_by":57,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Mitacs; Canada Research Chairs; Canada Foundation for Innovation","keywords":"Biology; Context (archaeology); Baseline (sea); Seabird; Foraging; Ecology; Corticosterone; Meta-analysis; Population; Demography; Hormone; Predation; Fishery","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":[0.001536233,0.0002793667,0.002475213,0.00006342359,0.00005762674,0.0000178083,0.000238632,0.0003162919,0.0004127601],"category_scores_gemma":[0.0003064016,0.00007848439,0.001805151,0.0007103026,0.00005038303,0.00006480882,0.00007543416,0.0001236645,0.00002263786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008580057,"about_ca_system_score_gemma":0.00002576448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006125031,"about_ca_topic_score_gemma":0.00003231237,"domain_scores_codex":[0.9978929,0.0005282941,0.0005893864,0.0005925017,0.0001513166,0.0002456616],"domain_scores_gemma":[0.9978313,0.001516195,0.0003768501,0.0001190374,0.00011954,0.00003707252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.00008319107,0.0002789203,0.003754622,0.003305973,0.01176642,0.000007524268,0.000004138038,0.000001733348,0.004297313,0.00002066474,0.000009270399,0.9764702],"study_design_scores_gemma":[0.0006338244,0.00312546,0.250573,0.002892566,0.5319601,0.0000270596,0.00005633719,0.000003092562,0.001167895,0.0001689674,0.2075482,0.001843512],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.03914696,0.9586803,0.00001950673,0.0000249304,0.0002135499,0.001631637,0.0002309903,0.00003559598,0.00001646844],"genre_scores_gemma":[0.05818899,0.9392802,0.00008859508,0.000002754556,0.0002192089,0.00150901,0.0001761783,0.000004072548,0.0005309752],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9746267,"threshold_uncertainty_score":0.4519434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.115027208354897,"score_gpt":0.3616570973783411,"score_spread":0.2466298890234441,"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."}}