{"id":"W2107650607","doi":"10.1111/j.0030-1299.2005.13351.x","title":"Modelling population dynamics of seabirds: importance of the effects of climate fluctuations on breeding proportions","year":2005,"lang":"en","type":"article","venue":"Oikos","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":117,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Australian Antarctic Division; Polar Knowledge Canada","keywords":"Population; Vital rates; Population growth; Climate change; Population model; Population size; Predation; Ecology; Biology; Demography; Geography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004719401,0.0004079766,0.0003359048,0.000343036,0.0002786973,0.0009663122,0.0005951569,0.0005685379,0.0008232626],"category_scores_gemma":[0.001924671,0.0003983534,0.0005189931,0.0003360475,0.0002681741,0.0005452093,0.000365556,0.000375763,0.0001031704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005583232,"about_ca_system_score_gemma":0.0006611333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05654461,"about_ca_topic_score_gemma":0.03792133,"domain_scores_codex":[0.9998636,0.0000682314,0.000007458713,0.00003015667,0.00001181674,0.00001861655],"domain_scores_gemma":[0.9994666,0.0003448962,0.00008702184,0.0000268193,0.00003534589,0.00003931017],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002196222,0.00001191069,0.02603341,0.00001377187,0.00005860469,0.00004965279,0.00006179939,0.9706799,0.0005789101,0.0004054517,0.00006300306,0.002021614],"study_design_scores_gemma":[0.00000536075,0.00001821792,0.007458037,0.000004575067,0.00001563592,0.00001733039,0.00004396378,0.9918228,0.0001100502,0.0003318063,0.0001663336,0.000005963189],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840555,0.0001340327,0.01449661,0.0001296704,0.000007604375,0.00001117554,0.0002247465,0.00004628195,0.0008942541],"genre_scores_gemma":[0.9967062,0.0001127042,0.002491081,0.0000128462,0.000005367283,0.00001690493,0.000125173,0.00001357663,0.0005162368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05654461,"threshold_uncertainty_score":0.1124309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009120059028264012,"score_gpt":0.2364220510090859,"score_spread":0.2273019919808219,"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."}}