{"id":"W2163582893","doi":"10.1139/f09-160","title":"Temporal patterns of target catch and sea turtle bycatch in the US Atlantic pelagic longline fishing fleet","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Turtle Biology and Conservation","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Southeast Fisheries Science Center; National Oceanic and Atmospheric Administration; Gordon and Betty Moore Foundation","keywords":"Bycatch; Swordfish; Fishery; Sea turtle; Pelagic zone; Yellowfin tuna; Fishing; Turtle (robot); Tuna; Foraging; Oceanography; Environmental science; Geography; Biology; Ecology; Fish <Actinopterygii>; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000678253,0.00005936443,0.0001104392,0.00004283366,0.0001452583,0.00006701353,0.0002163664,0.00003278053,0.0001075253],"category_scores_gemma":[0.00007782582,0.00003737943,0.00001640797,0.0001668253,0.0003812799,0.0002564951,0.000008695017,0.00008808941,6.092359e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001685797,"about_ca_system_score_gemma":0.00008938117,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03097313,"about_ca_topic_score_gemma":0.1119395,"domain_scores_codex":[0.9993747,0.00005900269,0.0001957993,0.00009013662,0.0001301613,0.0001502337],"domain_scores_gemma":[0.9996678,0.0000665269,0.0001175383,0.00005102209,0.00000531662,0.0000917787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002962466,0.000004663166,0.9959518,0.000002118516,0.000001270437,0.00001502261,0.001527547,0.0000182214,0.0000348722,0.00002266467,0.0005511666,0.001867667],"study_design_scores_gemma":[0.0001067781,0.0002057839,0.9939475,0.0000258656,0.000005447655,0.00007270306,0.00145772,0.0006520098,0.0000294108,0.00190034,0.001541945,0.00005447515],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887024,0.0002247504,0.00002786231,0.01060149,0.00005899533,0.00004404311,0.000002476019,6.950962e-7,0.0003373493],"genre_scores_gemma":[0.9986503,0.00002658541,0.0002992097,0.0009718186,0.00002244564,3.312163e-7,0.000001250883,0.000001038009,0.00002699869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08096633,"threshold_uncertainty_score":0.9754797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01380147631334335,"score_gpt":0.2095196084382553,"score_spread":0.195718132124912,"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."}}