{"id":"W2085531903","doi":"10.1002/ece3.592","title":"Interspecific synchrony of seabird population growth rate and breeding success","year":2013,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Animal Ecology and Behavior Studies","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Seabird; Interspecific competition; Population growth; Ecology; Population; Biology; Geography; Demography; Predation; Sociology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000133577,0.00005874462,0.0001004198,0.00002470794,0.0001634656,0.000004621282,0.00003372284,0.00008156167,0.0005635963],"category_scores_gemma":[0.00002753052,0.00005269075,0.00001100742,0.0000529811,0.0002996941,0.0002274677,0.0001005454,0.00006040066,0.00006007313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007195894,"about_ca_system_score_gemma":0.000001782133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007679322,"about_ca_topic_score_gemma":0.001034733,"domain_scores_codex":[0.9995548,0.00004193846,0.0001084374,0.0001468071,0.00002918977,0.0001187887],"domain_scores_gemma":[0.9998345,0.00004153603,0.00005524528,0.00003321428,0.000009559712,0.00002596471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000102325,0.00001946882,0.9941996,0.000005830805,0.000004648844,4.276596e-7,0.000128158,0.000004201176,0.004071151,0.0007715203,0.0004472437,0.0003374973],"study_design_scores_gemma":[0.0001370546,0.0001562895,0.996951,0.00000326894,0.0000134981,0.000005875854,0.0001664476,0.0002406269,0.00005182324,0.002210274,0.000009381649,0.00005447967],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985898,0.00006308735,0.00006448783,0.0003372188,0.0001050528,0.0001054764,7.684894e-7,0.00001282534,0.0007212525],"genre_scores_gemma":[0.9996944,0.0000387125,0.00009547537,0.00002513596,0.00001380247,0.00001344741,0.000001852923,0.000002590235,0.000114563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004019327,"threshold_uncertainty_score":0.6170985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008804442335048946,"score_gpt":0.217333171238965,"score_spread":0.208528728903916,"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."}}