{"id":"W4360869631","doi":"10.1111/faf.12743","title":"A delay‐differential model for representing small pelagic fish stock dynamics and its application for assessing alternative management strategies under environmental uncertainty","year":2023,"lang":"en","type":"article","venue":"Fish and Fisheries","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Fisheries and Oceans Canada","funders":"","keywords":"Stock (firearms); Pelagic zone; Fish stock; Fishery; Stock assessment; Maximum sustainable yield; Environmental science; Fisheries management; Engraulis; Econometrics; Anchovy; Economics; Geography; 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":[],"consensus_categories":[],"category_scores_codex":[0.0001781723,0.0001907052,0.0001789576,0.00004683057,0.0004215045,0.0003057215,0.0001714298,0.00008361872,0.0001177544],"category_scores_gemma":[0.00001736761,0.0001900853,0.00005402813,0.0001066399,0.0001827245,0.0004973488,0.0004998939,0.0001070268,0.000002106222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001002875,"about_ca_system_score_gemma":0.000009493602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001040637,"about_ca_topic_score_gemma":0.000851739,"domain_scores_codex":[0.9986079,0.00002484394,0.0002162102,0.0005274908,0.0002080741,0.0004154428],"domain_scores_gemma":[0.9995415,0.00009936791,0.00008406142,0.000169378,0.00001029036,0.00009545141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001484036,0.0006098343,0.2317833,0.00202364,0.0007110916,0.00003883933,0.00770568,0.04111259,0.003556692,0.01973344,0.01739241,0.6738485],"study_design_scores_gemma":[0.0006041994,0.00006474163,0.02205318,0.000006717414,0.00003043272,0.000003043155,0.002888025,0.965251,0.00003247432,0.006358714,0.002472405,0.0002350194],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8861048,0.000004540419,0.1030039,0.0009962569,0.00005481515,0.001355475,0.0002771212,0.00007407763,0.008129046],"genre_scores_gemma":[0.9912465,0.0001790483,0.001284537,0.0001995392,0.00005997453,0.0007039013,0.0005965247,0.00003440842,0.005695563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9241384,"threshold_uncertainty_score":0.7751455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03657269485237738,"score_gpt":0.2756923461289338,"score_spread":0.2391196512765565,"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."}}