{"id":"W4220995887","doi":"10.1016/j.tree.2021.11.011","title":"Biological Earth observation with animal sensors","year":2022,"lang":"en","type":"article","venue":"Trends in Ecology & Evolution","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":131,"is_retracted":false,"has_abstract":true,"ca_institutions":"Acadia University; University of Guelph; Western University","funders":"Center for Makroøkologi, Evolution og Klima; Russian Academy of Sciences; Leibniz-Gemeinschaft; California Department of Fish and Wildlife; University of Illinois at Urbana-Champaign; Princeton University; Sorbonne Université; Universität Konstanz; Southern University of Science and Technology; Directorate for Biological Sciences; Universidad Austral de Chile; Senckenberg Biodiversität und Klima Forschungszentrum; Universität Stuttgart; Far East Branch, Russian Academy of Sciences; Debreceni Egyetem; Julius-Maximilians-Universität Würzburg; Koninklijke Nederlandse Akademie van Wetenschappen; Radboud Universiteit; Lomonosov Moscow State University; Tomsk State University; National Aeronautics and Space Administration; Georgetown University; Wildlife Conservation Society; Muséum National d'Histoire Naturelle; Università di Pisa; Justus Liebig Universität Gießen; Leibniz-Institut für Zoo- und Wildtierforschung; Ural Branch, Russian Academy of Sciences; Deutsches Zentrum für Luft- und Raumfahrt; Centre National de la Recherche Scientifique; University of Central Florida; Technische Universität Dresden; Hebrew University of Jerusalem; Lunds Universitet; Nederlands Instituut voor Ecologie; Yale University; Christian-Albrechts-Universität zu Kiel; University of Pretoria; Smithsonian Tropical Research Institute; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; NASA Headquarters; Irkutsk State University; European Space Agency; Rijksuniversiteit Groningen; North Carolina Museum of Natural Sciences; Acadia University; Jet Propulsion Laboratory; Linnéuniversitetet; California Institute of Technology; University of California, Davis; Smithsonian Institution","keywords":"Scale (ratio); Earth observation; Human animal; Remote sensing; Environmental science; Biological motion; Tracking (education); Animal behavior; Animal health; Environmental resource management; Computer science; Geography; Ecology; Engineering; Cartography; Artificial intelligence; Biology; Aerospace engineering; Satellite","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0006473446,0.0005483791,0.0005352714,0.002966409,0.0003364139,0.001378163,0.0007004337,0.0006266217,0.01164553],"category_scores_gemma":[0.001099835,0.0001923946,0.0005327051,0.00571949,0.0002935807,0.001181146,0.001409201,0.0007362924,0.01146173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003373089,"about_ca_system_score_gemma":0.0004593532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004196449,"about_ca_topic_score_gemma":0.004788046,"domain_scores_codex":[0.9991277,0.0001295728,0.00003650495,0.0002082982,0.0004527616,0.00004532841],"domain_scores_gemma":[0.9993529,0.0000978953,0.00006108169,0.0001737023,0.0002728034,0.00004159475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002286538,0.00009443353,0.01798045,0.002028924,0.0003249453,0.0002021347,0.0004085277,0.004364591,0.022933,0.005210781,0.1668817,0.7793418],"study_design_scores_gemma":[0.00005827921,0.0002248831,0.04260437,0.0006138121,0.0002159301,0.0004275851,0.0003977104,0.01068878,0.01039901,0.004895593,0.9293864,0.00008760935],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.05288699,0.04321413,0.3487478,0.003024739,0.003705463,0.0009175274,0.1820017,0.02001641,0.3454852],"genre_scores_gemma":[0.4180314,0.0320237,0.2929201,0.002331916,0.0018546,0.001449055,0.1426234,0.001402193,0.1073636],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01164553,"threshold_uncertainty_score":0.03895819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04134385831638977,"score_gpt":0.2513841510778166,"score_spread":0.2100402927614269,"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."}}