{"id":"W4360611537","doi":"10.3389/fevo.2023.1108293","title":"Good times bad times — Unfavorable breeding conditions, more than divorce, lead to increased parental effort and reduced physiological condition of northern gannets","year":2023,"lang":"en","type":"article","venue":"Frontiers in Ecology and Evolution","topic":"Animal Behavior and Reproduction","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cégep de Rimouski; Université du Québec à Rimouski","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Environment and Climate Change Canada; Université du Québec à Rimouski","keywords":"Foraging; Reproductive success; Predation; Ecology; Biology; Flexibility (engineering); Population; Animal sexual behaviour; Trophic level; Environmental health; Medicine; Economics","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":[0.0002380503,0.0001935999,0.0001877185,0.0003161224,0.0003487854,0.0003830465,0.0001787022,0.0001584081,0.001826897],"category_scores_gemma":[0.0004500939,0.0001163078,0.0002049237,0.0001458152,0.0002678919,0.0002779125,0.0005084671,0.0002756812,0.0002115789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002358971,"about_ca_system_score_gemma":0.0001281102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002320164,"about_ca_topic_score_gemma":0.01423125,"domain_scores_codex":[0.9998653,0.00002815133,0.00001091242,0.00005215834,0.00001655556,0.0000267997],"domain_scores_gemma":[0.999625,0.00003236986,0.0001802849,0.00003665181,0.0000254499,0.0001002062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001342354,0.00005401829,0.9868195,0.0000230084,0.00005136443,0.0001277088,0.0003063233,0.0000791063,0.008296339,0.00004157726,0.0000817273,0.00398506],"study_design_scores_gemma":[4.486795e-7,0.00003262629,0.999506,0.000001640166,0.000004458632,0.00006014719,0.0001207043,0.00004792545,0.0001374823,0.00001084038,0.00007674022,9.509685e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999643,0.00003513871,0.00005057519,0.000008983016,0.000002354525,0.000001212365,0.0000541298,0.000001665473,0.0002029179],"genre_scores_gemma":[0.9995184,0.00002148618,0.00009589986,0.00001184653,0.000002151439,0.000003320726,0.0001079803,0.000001241252,0.0002377235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002320164,"threshold_uncertainty_score":0.006111622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01074151822465874,"score_gpt":0.2308478272397754,"score_spread":0.2201063090151166,"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."}}