{"id":"W2017645656","doi":"10.3354/esr00070","title":"Evaluating potential tagging effects on leatherback sea turtles","year":2007,"lang":"en","type":"article","venue":"Endangered Species Research","topic":"Turtle Biology and Conservation","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"National Marine Fisheries Service; Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada; World Wildlife Fund","keywords":"Turtle (robot); Fishery; Endangered species; Foraging; Sea turtle; Satellite tracking; Nova scotia; Geography; Fishing; Bycatch; Biology; Zoology; Ecology; Satellite; Archaeology; Habitat","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004422223,0.0004015495,0.000244699,0.0004154771,0.0003127252,0.000563987,0.0003579881,0.0003438354,0.0006549067],"category_scores_gemma":[0.01299211,0.0002343451,0.0004122329,0.0003491589,0.0004200832,0.0005853996,0.0003128063,0.0002225876,0.0001448285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003772117,"about_ca_system_score_gemma":0.0002415285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004012355,"about_ca_topic_score_gemma":0.01294,"domain_scores_codex":[0.9979522,0.001306885,0.0001668715,0.0002002204,0.0002632133,0.0001105312],"domain_scores_gemma":[0.9781405,0.01602107,0.003515946,0.0008895182,0.001036236,0.000396709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001981901,0.0002384769,0.955662,0.00007040414,0.0002258412,0.0002409238,0.0005859986,0.001850248,0.02140599,0.00005085744,0.00004752693,0.01763982],"study_design_scores_gemma":[0.00001756413,0.003294579,0.9832243,0.0000125662,0.0002202438,0.0001916137,0.0003881607,0.002536144,0.009834544,0.00006383796,0.0001986932,0.00001770854],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992445,0.0000599121,0.0004881846,0.000008855883,0.000003234916,0.000007091628,0.00002476326,0.000003597816,0.0001599995],"genre_scores_gemma":[0.9987499,0.00007795826,0.0008619365,0.00002679953,0.000004760798,0.000009958559,0.00008876128,0.000003504402,0.0001764002],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004422223,"threshold_uncertainty_score":0.02338719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1000773230396678,"score_gpt":0.3939600629963291,"score_spread":0.2938827399566613,"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."}}