{"id":"W2621305172","doi":"10.1007/s11160-017-9478-x","title":"Mitigating bycatch in tuna fisheries","year":2017,"lang":"en","type":"article","venue":"Reviews in Fish Biology and Fisheries","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":55,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Bycatch; Fishery; Tuna; Fisheries management; Business; Fishing; Biology; Fish <Actinopterygii>","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008637031,0.000193607,0.0004669178,0.00003596717,0.0003203302,0.0001189052,0.0004951609,0.0001848172,0.003628271],"category_scores_gemma":[0.0008167131,0.000162705,0.00005085098,0.0001177611,0.001247467,0.0005043761,0.0007350814,0.0003589295,0.00003518645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004659671,"about_ca_system_score_gemma":0.000009918592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001849565,"about_ca_topic_score_gemma":0.01203839,"domain_scores_codex":[0.9984128,0.0001929036,0.0004334807,0.0004387337,0.00008169534,0.0004404083],"domain_scores_gemma":[0.9991643,0.00008599649,0.0001502879,0.0005180414,0.000005471141,0.00007594391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001337923,0.0000194326,0.8318307,0.00004161546,0.000002139903,0.00001091749,0.0002369764,5.532566e-8,0.00008216245,0.00009704266,0.00267922,0.1649864],"study_design_scores_gemma":[0.0001716664,0.00004415576,0.5051346,0.00003043874,0.000001571493,0.000005021384,0.00005823168,0.00002094036,0.00001833168,0.00131107,0.4930682,0.0001357712],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5760004,0.0005233301,0.000007989411,0.005931385,0.0001737455,0.0005265562,0.00001447808,0.00002167406,0.4168005],"genre_scores_gemma":[0.9466314,0.0427669,0.001959567,0.002162948,0.0001529223,0.000403231,0.0000540538,0.00003622665,0.0058328],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.490389,"threshold_uncertainty_score":0.9972826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04441715165770812,"score_gpt":0.3144532637596614,"score_spread":0.2700361121019533,"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."}}