{"id":"W2075208319","doi":"10.1139/f09-137","title":"Estimating thresholds to optimal harvest rate for long-lived, low-fecundity sharks accounting for selectivity and density dependence in recruitment","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Ichthyology and Marine Biology","field":"Environmental Science","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Maximum sustainable yield; Overfishing; Fecundity; Fishery; Productivity; Bayesian probability; Prior probability; Fisheries management; Econometrics; Statistics; Ecology; Fishing; Economics; Biology; Mathematics; Population","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001575787,0.00009421881,0.0001807078,0.0000699245,0.0004495353,0.0001188636,0.0001687766,0.00005380473,0.00003144276],"category_scores_gemma":[0.0006437694,0.00007826908,0.00002421479,0.0001426617,0.0003788529,0.0004104699,0.00002780141,0.00008528888,7.446197e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008004136,"about_ca_system_score_gemma":0.0001569766,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003027996,"about_ca_topic_score_gemma":0.1207001,"domain_scores_codex":[0.9991357,0.00003912914,0.0002104124,0.0002086982,0.00007069428,0.0003354117],"domain_scores_gemma":[0.9994001,0.0002063652,0.0001116968,0.00004644276,0.00001495341,0.000220407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005192414,0.00001339467,0.9582139,0.0000100836,0.000005093344,0.00001494218,0.0009502853,0.0009109103,0.0005796215,0.0000720252,0.0002701848,0.03890767],"study_design_scores_gemma":[0.0003341038,0.0009582643,0.9781109,0.00004851553,0.0000130754,0.0001067698,0.000306619,0.01594137,0.0003218524,0.003364895,0.0003398495,0.0001537757],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910346,0.00004407659,0.006420473,0.001904908,0.0001615633,0.000325088,0.00000220617,0.000001797563,0.0001053063],"genre_scores_gemma":[0.98101,0.000004398182,0.01829331,0.0006034323,0.00004344713,0.000009331108,5.562611e-7,0.000002174806,0.00003335096],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1176721,"threshold_uncertainty_score":0.8953449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03520411014183933,"score_gpt":0.2716562516241607,"score_spread":0.2364521414823214,"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."}}