{"id":"W2791470514","doi":"10.1002/2017gl076164","title":"Massive Mortality of a Planktivorous Seabird in Response to a Marine Heatwave","year":2018,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Climate variability and models","field":"Environmental Science","cited_by":284,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Ministry of Agriculture; Abbotsford Veterinary Clinic","funders":"Division of Research on Learning in Formal and Informal Settings; California Department of Fish and Wildlife; Washington Department of Fish and Wildlife; National Science Foundation","keywords":"Oceanography; Seabird; Zooplankton; Energetics; Abundance (ecology); Foraging; Population; Biomass (ecology); Environmental science; Climate change; Global warming; Ecology; Geography; Biology; Geology","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":[0.0002370881,0.0001343433,0.0001050833,0.0002028736,0.0002526507,0.000447449,0.0001553069,0.000190397,0.001160433],"category_scores_gemma":[0.0005431331,0.00008764831,0.0002293873,0.0001735665,0.0001796999,0.0001552561,0.0003589357,0.0002587435,0.0001367519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000546422,"about_ca_system_score_gemma":0.0002647667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0434889,"about_ca_topic_score_gemma":0.07841667,"domain_scores_codex":[0.9999301,0.00001362751,0.000003064031,0.00002135479,0.00001055016,0.0000212092],"domain_scores_gemma":[0.9997341,0.00004120192,0.0001064731,0.00002066813,0.00003129417,0.00006625898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009310029,0.00004121911,0.9915289,0.000009727899,0.00007637318,0.00009556422,0.00009458057,0.001999286,0.002522059,0.00008250943,0.0006133628,0.002843374],"study_design_scores_gemma":[0.000003163105,0.00004523101,0.9947158,0.000003324857,0.00001742147,0.00004044394,0.0002409523,0.004387135,0.0002787592,0.0000852505,0.0001790701,0.00000355764],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993667,0.00001184436,0.0001035005,0.00005098456,0.000004156691,0.000001775073,0.0001780276,0.000006142945,0.0002769159],"genre_scores_gemma":[0.9995783,0.00001423567,0.000062656,0.00001722009,0.000002697242,0.000002190523,0.0001829747,7.476056e-7,0.0001388942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0434889,"threshold_uncertainty_score":0.0864715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05281924499872885,"score_gpt":0.3459150408028506,"score_spread":0.2930957958041218,"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."}}