{"id":"W2142834039","doi":"10.1139/f07-051","title":"Evaluation of the robustness of maximum sustainable yield based management strategies to variations in carrying capacity or migration pattern of Atlantic bluefin tuna (<i>Thunnus thynnus</i>)","year":2007,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission; Department for Environment, Food and Rural Affairs, UK Government","keywords":"Maximum sustainable yield; Stock (firearms); Tuna; Carrying capacity; Stock assessment; Robustness (evolution); Population; Fishery; Statistics; Mathematics; Management strategy; Econometrics; Fisheries management; Environmental science; Ecology; Biology; Geography; Fishing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007937123,0.0006467865,0.0004186927,0.001031143,0.0002337043,0.0008097586,0.0006130522,0.0005780479,0.0003394973],"category_scores_gemma":[0.0187061,0.0001610582,0.0003646499,0.0004646276,0.0003098805,0.0009659505,0.0005249718,0.0003222146,0.0001102082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007037863,"about_ca_system_score_gemma":0.0005531515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008084077,"about_ca_topic_score_gemma":0.006283935,"domain_scores_codex":[0.9984474,0.0005301906,0.0001625745,0.0003767448,0.0003941497,0.00008898803],"domain_scores_gemma":[0.9898049,0.005189902,0.00279632,0.0006726141,0.001339232,0.0001970573],"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":[0.001361274,0.0004960635,0.5494499,0.0001582188,0.001154673,0.0001010442,0.0002955174,0.2826502,0.01078695,0.000675491,0.0003057368,0.152565],"study_design_scores_gemma":[0.00006721067,0.003792467,0.50061,0.0000767747,0.0003265529,0.000115976,0.0003217767,0.4773568,0.01501658,0.00122572,0.0009795215,0.0001105837],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886338,0.0002486503,0.01001872,0.00005381698,0.00001246899,0.0000433156,0.0001622755,0.0000536939,0.000773264],"genre_scores_gemma":[0.9935014,0.00006311333,0.005972723,0.00002859936,0.000006984059,0.00001989113,0.0002485465,0.000006892806,0.0001518393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008084077,"threshold_uncertainty_score":0.04197598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03997524983731639,"score_gpt":0.2544804194492812,"score_spread":0.2145051696119648,"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."}}