{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002058973,0.0001405875,0.0001504383,0.00001839504,0.0002822439,0.0002799592,0.0002445063,0.00006825792,0.02120023],"category_scores_gemma":[0.0002155627,0.00009572442,0.00003824312,0.0003234429,0.0001546866,0.0002499021,0.0007022584,0.0001515065,0.0002505775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000432131,"about_ca_system_score_gemma":0.00002247716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008001889,"about_ca_topic_score_gemma":0.002331064,"domain_scores_codex":[0.9986777,0.00006190676,0.0001401782,0.0003809924,0.0003912728,0.0003479785],"domain_scores_gemma":[0.9992934,0.00007885453,0.00002202295,0.0003695856,0.00002074499,0.000215366],"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":[0.0004160781,0.00005184769,0.191943,0.00002867365,0.00002122013,0.0000736586,0.004085686,0.000003566914,0.001449831,0.0001053171,0.6246361,0.1771851],"study_design_scores_gemma":[0.0001043755,0.0001248634,0.1935209,0.000005502847,0.000005759198,0.00001509385,0.0005991784,0.00002711681,0.004806922,0.00006351771,0.8005788,0.0001479445],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6197332,0.000006989658,0.0002617391,0.1412818,0.000284362,0.0004740645,0.00009429932,0.00007331352,0.2377902],"genre_scores_gemma":[0.7166572,0.0002268082,0.001495368,0.09274971,0.0002445212,0.0001337741,0.00002545403,0.00003897355,0.1884282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1770371,"threshold_uncertainty_score":0.9796945,"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."}}