{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005309547,0.001564812,0.005158745,0.001489811,0.0002056449,0.001573189,0.001418916,0.001125755,0.001639221],"category_scores_gemma":[0.008727618,0.0005523491,0.007127233,0.001872038,0.0005086852,0.0008832878,0.0006983475,0.001031039,0.000172956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005961753,"about_ca_system_score_gemma":0.001009318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003708264,"about_ca_topic_score_gemma":0.01196826,"domain_scores_codex":[0.998174,0.0007739059,0.0003155784,0.0004703283,0.0002129598,0.00005320345],"domain_scores_gemma":[0.991975,0.006422834,0.0008859716,0.0002802668,0.0003243079,0.0001116114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.004246371,0.0001368702,0.0660707,0.1615891,0.3817738,0.0002815065,0.0002900487,0.001685753,0.001557796,0.0004763281,0.002388626,0.379503],"study_design_scores_gemma":[0.0008147468,0.001708513,0.1722071,0.02606846,0.7693357,0.000949926,0.0004565406,0.001304239,0.001078628,0.001760573,0.02410568,0.0002097015],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.008776504,0.9905612,0.0002374051,0.000103389,0.00005821275,0.000007034402,0.000143608,0.000005904356,0.0001066701],"genre_scores_gemma":[0.1897101,0.805871,0.002449594,0.0008961526,0.0002192001,0.00003420763,0.0005878753,0.000024958,0.0002069838],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005309547,"threshold_uncertainty_score":0.02807993,"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."}}