{"id":"W4408817764","doi":"10.1186/s40462-025-00530-z","title":"Shortening migration by 4500 km does not affect nesting phenology or increase nest success for black brant (Branta bernicla nigricans) breeding in Arctic and subarctic Alaska","year":2025,"lang":"en","type":"article","venue":"Movement Ecology","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Arctic Goose Joint Venture","keywords":"Subarctic climate; Nest (protein structural motif); Seabird; Arctic; Branta; Animal ecology; Ecology; Phenology; Geography; Population; Anatidae; Biology; Goose; Demography; Predation","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":[],"consensus_categories":[],"category_scores_codex":[0.0005552301,0.0002429605,0.0003828516,0.0001372182,0.0002751413,0.00003303643,0.0002418729,0.0002311381,0.0005761505],"category_scores_gemma":[0.0002185582,0.0001967777,0.00004793553,0.0002830374,0.000418786,0.0002336801,0.0002460523,0.0002315394,0.00001720112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003536388,"about_ca_system_score_gemma":0.0000373601,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001247438,"about_ca_topic_score_gemma":0.05475396,"domain_scores_codex":[0.9980341,0.0001704938,0.0004456429,0.0006337285,0.0001033457,0.0006126656],"domain_scores_gemma":[0.9987496,0.0008214454,0.0001512561,0.0001776068,0.00001359055,0.00008650024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002293588,0.0002331332,0.9753978,0.00006408944,0.00002217882,0.0000289231,0.0002450376,0.0001230709,0.01932695,0.00005618715,0.000300019,0.003973227],"study_design_scores_gemma":[0.001560602,0.0004900975,0.9910546,0.0000321116,0.0001061785,0.000009427672,0.0003543267,0.003184474,0.002527568,0.0002936193,0.0001502535,0.0002367674],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957879,0.00001448315,0.0002831603,0.002541862,0.0002571353,0.000951384,0.00002086492,0.00003977491,0.0001034899],"genre_scores_gemma":[0.9953331,0.00003140147,0.0003784451,0.002431196,0.00002947105,0.0003044138,0.00003786789,0.00001696707,0.001437191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05350652,"threshold_uncertainty_score":0.9624943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009761589874743432,"score_gpt":0.2505399995008883,"score_spread":0.2407784096261449,"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."}}