{"id":"W4322724841","doi":"10.1139/cjfas-2022-0156","title":"No free lunch: estimating the biomass and ex-vessel value of target catch lost to depredation by odontocetes in the Hawai‘i longline tuna fishery","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Marine Fisheries Service; Graduate School, Duke University; National Oceanic and Atmospheric Administration","keywords":"Fishery; Tuna; Pelagic zone; Predation; Range (aeronautics); Biomass (ecology); Bycatch; Fisheries management; Geography; Environmental science; Fishing; Fish <Actinopterygii>; Ecology; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000897675,0.0004303492,0.0002328677,0.001290719,0.0003035343,0.0006193795,0.0006583447,0.0003739512,0.0005885673],"category_scores_gemma":[0.00312121,0.0003062691,0.0004382987,0.001009849,0.0002884645,0.0007883286,0.0006979154,0.0002878115,0.0001415143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001698755,"about_ca_system_score_gemma":0.0009466558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.178459,"about_ca_topic_score_gemma":0.2791138,"domain_scores_codex":[0.9997613,0.00004952528,0.00001885867,0.00006550131,0.00005631035,0.00004866001],"domain_scores_gemma":[0.9988018,0.0003253412,0.0005541921,0.00009606058,0.0001120559,0.0001105817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006415545,0.00005404142,0.9728042,0.00001310174,0.0001136279,0.00006411356,0.00008007815,0.01919266,0.0003218793,0.0001568243,0.0002395537,0.006895642],"study_design_scores_gemma":[0.00001337696,0.00008934579,0.8007372,0.00001796586,0.00005397419,0.0001002114,0.0003751233,0.1973971,0.0003992761,0.0003624957,0.0004285293,0.00002545573],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980227,0.00007046242,0.0008991644,0.00003679217,0.000001956623,0.000006391277,0.0005348749,0.00001131943,0.0004165196],"genre_scores_gemma":[0.9965143,0.00005170562,0.001899475,0.00001768059,0.000002930136,0.00001422328,0.001096491,0.000004897979,0.0003983537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.178459,"threshold_uncertainty_score":0.3548405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01599560066001174,"score_gpt":0.2142667290920763,"score_spread":0.1982711284320645,"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."}}