{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006449411,0.0001428246,0.000247954,0.0005697227,0.0001796473,0.0003566983,0.0002188687,0.0001712732,0.000955792],"category_scores_gemma":[0.003129428,0.0001495005,0.0001714064,0.0003407394,0.0002995229,0.0003544223,0.0006139342,0.0002190121,0.00009976445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002151553,"about_ca_system_score_gemma":0.0001429434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00120878,"about_ca_topic_score_gemma":0.00268915,"domain_scores_codex":[0.9997159,0.00007481493,0.00002839457,0.00009544595,0.00005799517,0.00002750327],"domain_scores_gemma":[0.9978794,0.0005949839,0.0009573316,0.0002631977,0.000122606,0.0001824815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009103039,0.00003773383,0.9664056,0.0000242755,0.0001715125,0.00006255783,0.0001629352,0.001672571,0.02269274,0.000232986,0.0000708821,0.008375251],"study_design_scores_gemma":[0.000001186786,0.00003191458,0.9970982,0.000001442432,0.000009301792,0.00004604609,0.00004184555,0.001749951,0.0007996454,0.0001503147,0.00006778446,0.000002417972],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998317,0.00005053061,0.001146124,0.000009937085,0.000002334906,0.000002822486,0.00008761325,0.000009965508,0.0003736141],"genre_scores_gemma":[0.9996459,0.00001456198,0.0002184646,0.00000402436,0.000002489809,0.00000271579,0.00007302789,0.000002212721,0.00003663496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00120878,"threshold_uncertainty_score":0.003410816,"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."}}