{"id":"W4206230362","doi":"10.3354/esr01173","title":"Disentanglement network data to characterize leatherback sea turtle Dermochelys coriacea bycatch in fixed-gear fisheries","year":2021,"lang":"en","type":"article","venue":"Endangered Species Research","topic":"Turtle Biology and Conservation","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Oceanic and Atmospheric Administration; Northeast Fisheries Science Center; National Fish and Wildlife Foundation; Camille and Henry Dreyfus Foundation","keywords":"Bycatch; Fishery; Sea turtle; Fishing; Turtle (robot); Buoy; Geography; Environmental science; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007303116,0.000378464,0.0002577043,0.003534639,0.0003597915,0.0005124547,0.0004589864,0.0003278508,0.001138408],"category_scores_gemma":[0.002950821,0.0001685563,0.0002671556,0.002546379,0.000178614,0.0007804526,0.001224654,0.0002915971,0.0002852945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006719694,"about_ca_system_score_gemma":0.0005136149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04577593,"about_ca_topic_score_gemma":0.1113816,"domain_scores_codex":[0.9994209,0.00008298489,0.0001015012,0.0001869417,0.0001125069,0.00009522379],"domain_scores_gemma":[0.99747,0.000328743,0.001283838,0.0002528107,0.000441433,0.0002232372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002147244,0.00001339121,0.9945,0.00005291212,0.00005656624,0.00009260065,0.0002620383,0.00037831,0.000864266,0.0000489478,0.0006007883,0.003108662],"study_design_scores_gemma":[0.000002426665,0.00001805727,0.9959158,0.00003203786,0.00002643185,0.0001003145,0.0004302101,0.001343035,0.0001693528,0.00003486031,0.001922286,0.000005106214],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899288,0.0002986772,0.0005796644,0.00005309348,0.000008769499,0.00003343299,0.008353862,0.00001951089,0.000724181],"genre_scores_gemma":[0.9757915,0.0002038442,0.001372505,0.00005288201,0.000009015463,0.000086375,0.02196395,0.0000106679,0.0005093091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04577593,"threshold_uncertainty_score":0.09101897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1811039580530718,"score_gpt":0.3387461848607295,"score_spread":0.1576422268076578,"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."}}