{"id":"W4411051355","doi":"10.1126/science.adl0239","title":"Global tracking of marine megafauna space use reveals how to achieve conservation targets","year":2025,"lang":"en","type":"article","venue":"Science","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Acadia University; Atlantic School of Theology; Canadian Parks and Wilderness Society; University of Windsor; Carleton University; Environment and Climate Change Canada; Fisheries and Oceans Canada; University of British Columbia","funders":"University of Tokyo; University of Aberdeen; California Department of Parks and Recreation; Scottish Natural Heritage; Massachusetts Department of Fish and Game; Alaska Department of Fish and Game; California Department of Fish and Wildlife; Massachusetts MassWildlife Division of Fisheries and Wildlife; U.S. Fish and Wildlife Service; Natural England; San José State University; Long Island University; Home Office; U.S. Department of the Interior","keywords":"Megafauna; Threatened species; Biodiversity; Wildlife; Marine pollution; Geography; Marine protected area; Marine reserve; Conservation biology; Extinction (optical mineralogy); Environmental resource management; Fishery; Fishing; Environmental protection; Ecology; Environmental science; Pollution; Biology; Habitat","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001589045,0.0003412236,0.000259566,0.001745156,0.0002760197,0.001446374,0.0003943246,0.0002819779,0.002074883],"category_scores_gemma":[0.003150546,0.0001234779,0.000301187,0.002781736,0.0003432084,0.001705713,0.001063243,0.0005434684,0.000645925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009560416,"about_ca_system_score_gemma":0.001270421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07122692,"about_ca_topic_score_gemma":0.1252003,"domain_scores_codex":[0.999508,0.0001167987,0.00003103345,0.0001490949,0.00009588305,0.00009913041],"domain_scores_gemma":[0.9985824,0.0002683638,0.0003065942,0.0002580071,0.0004149216,0.0001696855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007523677,0.00002611689,0.6626567,0.0004169545,0.0002328359,0.00004940222,0.0008965696,0.00799167,0.002832365,0.007638369,0.02398719,0.2931966],"study_design_scores_gemma":[0.000006881118,0.00007365242,0.8988964,0.0004470695,0.00009812913,0.00004942513,0.001566699,0.00540646,0.00085214,0.006904478,0.08566343,0.00003527508],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8017555,0.01743602,0.04781917,0.0133821,0.0003041384,0.0001403115,0.06083493,0.000870206,0.05745757],"genre_scores_gemma":[0.9428921,0.007000015,0.02115267,0.0009839871,0.00008746493,0.0001269291,0.02432358,0.0001170858,0.003316216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07122692,"threshold_uncertainty_score":0.1416247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02194029341094679,"score_gpt":0.2732555837712729,"score_spread":0.2513152903603261,"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."}}