{"id":"W3131283742","doi":"10.1111/faf.12538","title":"To EBFM or not to EBFM? that is not the question","year":2021,"lang":"en","type":"article","venue":"Fish and Fisheries","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nature Conservancy of Canada","funders":"","keywords":"Business; Corporate governance; Overfishing; Environmental resource management; Ecosystem-based management; Stock (firearms); Stakeholder; Fisheries management; Stakeholder engagement; Adaptive management; Ecosystem approach; Unintended consequences; Ecosystem; Environmental economics; Economics; Ecology; Finance; Biology; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02172323,0.0004352978,0.0009275232,0.001262362,0.004228575,0.007582869,0.002181627,0.01084459,0.02557983],"category_scores_gemma":[0.07025686,0.0001799489,0.0006466435,0.0008840401,0.01785098,0.01263861,0.003693816,0.01103392,0.005672947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003041358,"about_ca_system_score_gemma":0.008274661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005138524,"about_ca_topic_score_gemma":0.006538552,"domain_scores_codex":[0.9904151,0.004731352,0.0004430928,0.001256691,0.001672299,0.001481389],"domain_scores_gemma":[0.9694362,0.01521282,0.0023365,0.001562904,0.007248343,0.004203248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001377807,0.0002479594,0.003876853,0.0008405438,0.00008293513,0.0003978278,0.003480739,0.0002411887,0.0003806998,0.3805118,0.4800082,0.1297935],"study_design_scores_gemma":[0.00006477719,0.00008335327,0.002550322,0.003479408,0.00006856812,0.0008241883,0.01595432,0.0004462458,0.0004866378,0.423137,0.5528005,0.0001047333],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002421918,0.005111895,0.001489584,0.9596622,0.009657077,0.00001756624,0.00007731026,0.00003514285,0.02152728],"genre_scores_gemma":[0.1926052,0.01265377,0.00393979,0.759467,0.0127188,0.0001513954,0.0001922029,0.0001201351,0.01815165],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02557983,"threshold_uncertainty_score":0.1148848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03427195456465306,"score_gpt":0.2794289698070884,"score_spread":0.2451570152424354,"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."}}