{"id":"W3155065536","doi":"10.3389/fmars.2021.646174","title":"How Can Information Contribute to Management? Value of Information (VOI) Analysis on Indian Ocean Striped Marlin (Kajikia audax)","year":2021,"lang":"en","type":"article","venue":"Frontiers in Marine Science","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Fisheries and Oceans Canada","funders":"Shanghai Ocean University; Ministry of Agriculture and Rural Affairs of the People's Republic of China; University of British Columbia","keywords":"Predictability; Fisheries management; Fishery; Yield (engineering); Value (mathematics); Statistics; Environmental resource management; Environmental science; Mathematics; Biology; Fishing","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.003587389,0.0003952793,0.0003864939,0.003776061,0.0004653976,0.002133028,0.0004845356,0.0005646292,0.0009214173],"category_scores_gemma":[0.01751693,0.000176937,0.0007114476,0.00278026,0.0006924002,0.002382474,0.0008831153,0.0005146333,0.00009654606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00182995,"about_ca_system_score_gemma":0.0008479999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0112859,"about_ca_topic_score_gemma":0.007972374,"domain_scores_codex":[0.9979306,0.0007461252,0.0001785803,0.0002258508,0.0006718881,0.0002469484],"domain_scores_gemma":[0.9819135,0.01296836,0.002112855,0.0005708274,0.002154822,0.0002796056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007682543,0.0002780446,0.7222878,0.0005718715,0.0004784,0.001187588,0.001748902,0.09346763,0.004938782,0.008569631,0.001828266,0.163875],"study_design_scores_gemma":[0.00001835632,0.0005071938,0.5768881,0.0002356491,0.0005975667,0.0003593481,0.003511103,0.3981268,0.007170322,0.009621479,0.002825325,0.0001387032],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886482,0.0005246348,0.006863962,0.000442464,0.00001595242,0.00003510379,0.0004642624,0.00004073291,0.002964819],"genre_scores_gemma":[0.9971135,0.0001520468,0.002155067,0.00002429209,0.000008479868,0.00001413115,0.0002206651,0.000007534516,0.0003042522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0112859,"threshold_uncertainty_score":0.02244043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003786674537250965,"score_gpt":0.2074606757787446,"score_spread":0.2036740012414936,"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."}}