{"id":"W4318754458","doi":"10.1098/rsbl.2022.0408","title":"Local-scale impacts of extreme events drive demographic asynchrony in neighbouring top predator populations","year":2023,"lang":"en","type":"article","venue":"Biology Letters","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia; Centro de Estudos Ambientais e Marinhos, Universidade de Aveiro; McGill University; Wildlife Conservation Society","keywords":"Biology; Extreme weather; Climate change; Ecology; Population; Albatross; Storm; Demography; Geography; Meteorology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001224357,0.00008612956,0.000116263,0.00008665398,0.00004898673,0.000003266357,0.0001395717,0.00007086401,0.004008339],"category_scores_gemma":[0.00002321021,0.00008115802,0.00005356254,0.0004894582,0.0001942571,0.00006866586,0.0001122649,0.00006819803,0.0003493116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001931279,"about_ca_system_score_gemma":0.000003241971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005472722,"about_ca_topic_score_gemma":0.001454591,"domain_scores_codex":[0.9991901,0.00006072067,0.0001814017,0.000197929,0.00008271079,0.0002871745],"domain_scores_gemma":[0.9996967,0.00002748406,0.00006336713,0.00015055,0.000003027985,0.00005886388],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005273355,0.00002346148,0.9019467,0.000003699639,0.000004026557,0.000002416408,0.00009261792,0.00009905428,0.09555802,0.0001113394,0.001735748,0.0004176721],"study_design_scores_gemma":[0.0002320446,0.00001927695,0.9969862,0.000009003433,0.000004126611,0.000001383389,0.0002095036,0.0001903164,0.001313085,0.0001037135,0.0008472248,0.0000841297],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970235,0.00001775598,0.0003876019,0.001636685,0.0001410102,0.0001155092,0.00006211694,0.00004188705,0.0005739199],"genre_scores_gemma":[0.9992826,0.00002790029,0.00004273119,0.0004615292,0.00001217754,0.00001491999,0.0001332212,0.000006038078,0.00001889851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09503952,"threshold_uncertainty_score":0.9969021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03450679504170517,"score_gpt":0.2661290684774041,"score_spread":0.231622273435699,"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."}}