{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001833585,0.00008044065,0.00009498452,0.00006244338,0.0001970877,0.000004681314,0.0001001589,0.00005287083,0.09703284],"category_scores_gemma":[0.00001129237,0.00007238941,0.00002494979,0.0005701835,0.0001488162,0.00008005662,0.0001336194,0.0001507339,0.0002510902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001010238,"about_ca_system_score_gemma":0.000005539588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001467389,"about_ca_topic_score_gemma":0.002300181,"domain_scores_codex":[0.9991156,0.0001267856,0.0001265099,0.0002414558,0.0001405981,0.0002489851],"domain_scores_gemma":[0.9997833,0.00002118587,0.00005692806,0.0001014917,0.000003899754,0.00003316038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001038926,0.0001421142,0.9935104,3.50755e-7,0.00000243372,0.000008000951,0.00008317229,0.001092679,0.001611144,0.001141287,0.001734519,0.0005699973],"study_design_scores_gemma":[0.0004080169,0.000487994,0.9895637,4.016893e-7,0.000003292752,0.00002225723,0.0008019757,0.0007218194,0.00003546933,0.00005666405,0.007808027,0.00009035694],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893228,0.00001097703,0.000008028921,0.0007682476,0.00009292251,0.00006175663,0.00003168425,0.00004972835,0.009653831],"genre_scores_gemma":[0.9987493,0.000005029221,0.00006559485,0.0001402286,0.00001135533,0.00006690041,0.0001672351,0.000004448303,0.0007898644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09678175,"threshold_uncertainty_score":0.9037926,"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."}}