{"id":"W2921753397","doi":"10.1016/j.tree.2019.01.009","title":"Translating Marine Animal Tracking Data into Conservation Policy and Management","year":2019,"lang":"en","type":"review","venue":"Trends in Ecology & Evolution","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":436,"is_retracted":false,"has_abstract":false,"ca_institutions":"Bedford Institute of Oceanography","funders":"Australian Research Council; Natural Environment Research Council; Sight Research UK; Fondation Bertarelli; Australian Institute of Marine Science","keywords":"Bycatch; Environmental resource management; Data management; Globe; Tracking (education); Citizen science; Data collection; Adaptive management; Business; Environmental planning; Geography; Data science; Computer science; Ecology; Biology; Environmental science","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005087187,0.0003396924,0.0008821359,0.0003036333,0.0001235089,0.00002005164,0.000505629,0.0001983652,0.0006421452],"category_scores_gemma":[0.00006053325,0.000332043,0.00008304478,0.0008481286,0.0001731788,0.0003084533,0.002212477,0.000309757,0.0001520953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001224615,"about_ca_system_score_gemma":0.00002902305,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006080227,"about_ca_topic_score_gemma":0.0787663,"domain_scores_codex":[0.99777,0.000214316,0.0006233212,0.0008298992,0.000176277,0.0003862008],"domain_scores_gemma":[0.998992,0.0001209452,0.0003018249,0.0005355565,0.000004619284,0.00004505646],"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":[0.00000674673,0.00004361356,0.03795348,0.002132585,0.00005116842,0.000006677458,0.00004405181,0.000003845253,1.959186e-7,0.0006374733,0.0004854122,0.9586347],"study_design_scores_gemma":[0.0002505819,0.00008288951,0.4054285,0.0004588101,0.0003006248,0.00001547296,0.00001469214,0.0008185546,8.085529e-9,0.0001535041,0.5922233,0.0002530621],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00168354,0.9558757,0.00002402495,0.0005181654,0.0002127981,0.0009176876,0.00002583251,0.00006723643,0.04067503],"genre_scores_gemma":[0.006143017,0.9913953,0.001220287,0.00008221296,0.00008184981,0.00007379907,0.0003758296,0.00003161709,0.0005960713],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9583817,"threshold_uncertainty_score":0.9999132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09837724231148194,"score_gpt":0.364570453114945,"score_spread":0.266193210803463,"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."}}