{"id":"W4323854034","doi":"10.1093/ornithapp/duad008","title":"Nest traits and major flooding events influence nest survival of Emperor Geese while regional environmental variation linked to climate does not","year":2023,"lang":"en","type":"article","venue":"Ornithological applications","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Geological Survey; U.S. Fish and Wildlife Service","keywords":"Nest (protein structural motif); Ecology; Biology; Sterna; Goose; Delta; Predation; Anatidae; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005442869,0.0002144238,0.0001815737,0.000380665,0.0002382717,0.0004024992,0.0001811421,0.0002514847,0.0009665227],"category_scores_gemma":[0.001327649,0.0001659454,0.0004961076,0.0002579501,0.0002431816,0.0002866263,0.0003939776,0.0002362732,0.0001120025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000155078,"about_ca_system_score_gemma":0.0001713035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01299163,"about_ca_topic_score_gemma":0.03325591,"domain_scores_codex":[0.9997972,0.0000637902,0.00001902593,0.00006753928,0.00001965059,0.00003283075],"domain_scores_gemma":[0.9987256,0.0003483802,0.0004558185,0.0001230111,0.0001064855,0.0002407253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002980895,0.0000145478,0.9981461,0.000002998977,0.00009033773,0.00003168108,0.00006653842,0.0001272532,0.0006734135,0.000008793108,0.00002087285,0.0007878108],"study_design_scores_gemma":[4.713924e-7,0.0000187338,0.9992913,0.000001335141,0.00001753677,0.00002487323,0.00006148715,0.000499815,0.000039898,0.000009086219,0.00003413285,0.000001243096],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996938,0.00004014652,0.0001207472,0.000006418104,8.728792e-7,8.575192e-7,0.00005617375,0.000002827977,0.00007819411],"genre_scores_gemma":[0.9997399,0.000016053,0.00007536621,0.000003879888,9.395582e-7,0.000001040707,0.00006748378,0.000001198515,0.00009400359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01299163,"threshold_uncertainty_score":0.02583206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02465854856887489,"score_gpt":0.2616840641507535,"score_spread":0.2370255155818786,"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."}}