{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006297259,0.0004253938,0.0003600315,0.0003407251,0.0002134013,0.0006556079,0.0007847975,0.0005406221,0.001196804],"category_scores_gemma":[0.001569914,0.0003691032,0.0006446771,0.0003248682,0.0002280881,0.0006174181,0.0005553862,0.0004237102,0.0002515297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006493376,"about_ca_system_score_gemma":0.0006118952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05306179,"about_ca_topic_score_gemma":0.05544059,"domain_scores_codex":[0.9998842,0.00004813105,0.000007358869,0.00002503883,0.00001699786,0.00001808608],"domain_scores_gemma":[0.9995137,0.0003113168,0.00005074992,0.00003085307,0.00006635368,0.00002691915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002219344,0.00001453358,0.01033269,0.000009988162,0.00004074628,0.00002110231,0.00001615681,0.9816639,0.0002995903,0.00145476,0.0002585449,0.005865763],"study_design_scores_gemma":[0.000003543365,0.00000607532,0.001212281,0.000002901148,0.000004853031,0.000003882565,0.000004809706,0.9975526,0.00003969427,0.0009622473,0.0002038923,0.000003266714],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7018837,0.0006859226,0.2870553,0.0007784536,0.00008039479,0.0000586345,0.001273532,0.000878264,0.00730576],"genre_scores_gemma":[0.9722766,0.0002737157,0.02390638,0.00009330035,0.0000381158,0.00006040951,0.0006583584,0.00006398511,0.002629065],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05306179,"threshold_uncertainty_score":0.1055059,"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."}}