{"id":"W4414128091","doi":"10.3354/esr01435","title":"Incorporating prey fields into North Atlantic right whale density surface models","year":2025,"lang":"en","type":"article","venue":"Endangered Species Research","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Marine Fisheries Service; Fisheries and Oceans Canada; U.S. Fleet Forces Command; Bureau of Ocean Energy Management; Northeast Fisheries Science Center; U.S. Navy; National Centers for Environmental Information; National Oceanic and Atmospheric Administration; Massachusetts Clean Energy Center; New York State Department of Environmental Conservation; New Jersey Department of Environmental Protection","keywords":"Right whale; Predation; Whale; Foraging; Endangered species; Beaked whale; Covariate","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":[0.0008521707,0.0001852323,0.0002720437,0.00007229963,0.0007726921,0.0001172719,0.0006625511,0.00009103381,0.002985678],"category_scores_gemma":[0.0002466768,0.0001646302,0.00007788302,0.001108224,0.0004683473,0.0002922829,0.002646985,0.0005840707,0.0005679592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005382138,"about_ca_system_score_gemma":0.0000486279,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01622091,"about_ca_topic_score_gemma":0.1501471,"domain_scores_codex":[0.9974131,0.0002736239,0.000286291,0.000551294,0.0008905249,0.0005851767],"domain_scores_gemma":[0.9988982,0.0003188362,0.00005561817,0.0005288544,0.00007615802,0.0001223444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009552718,0.0002055759,0.8869765,0.0002311795,0.00008383684,0.0001213948,0.001572463,0.002473855,0.001626705,0.006270384,0.09326123,0.00708132],"study_design_scores_gemma":[0.0006083743,0.0002206108,0.8878782,0.0001318573,0.00002372622,0.000005826819,0.0008030795,0.01307376,0.006010243,0.0178368,0.07279003,0.0006174919],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7949382,0.0002129254,0.0004482456,0.0009158243,0.00007809011,0.0003517378,0.000004523074,0.00005011549,0.2030003],"genre_scores_gemma":[0.9819134,0.0002836641,0.001470543,0.0001582316,0.00005954372,0.00002016751,0.000008992979,0.00001328435,0.01607213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1869752,"threshold_uncertainty_score":0.9979257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05674232688238922,"score_gpt":0.3109172629942644,"score_spread":0.2541749361118752,"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."}}