{"id":"W4210685688","doi":"10.1139/cjfas-2021-0277","title":"Oysters beget shell and vice versa: generating management goals for live oysters and the associated reef to promote maximum sustainable yield of <i>Crassostrea virginica</i>","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Marine Bivalve and Aquaculture Studies","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Northeast Fisheries Science Center; National Oceanic and Atmospheric Administration","keywords":"Maximum sustainable yield; Eastern oyster; Fishery; Overfishing; Reef; Fishing; Crassostrea; Oyster; Bay; Fisheries management; Sustainable yield; Population; Stock assessment; Biology; Ecology; Oceanography; Geology","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":[0.001132212,0.0002731067,0.0001474978,0.000361358,0.0003663436,0.0009897377,0.0005583982,0.0003648536,0.0004844026],"category_scores_gemma":[0.002998068,0.0001789423,0.0001633387,0.0002397413,0.0003078754,0.000661788,0.0005978947,0.0003157501,0.00006468355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002130032,"about_ca_system_score_gemma":0.003530709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1379043,"about_ca_topic_score_gemma":0.223539,"domain_scores_codex":[0.9998424,0.0000620338,0.000007204997,0.00002423704,0.00003101913,0.00003314624],"domain_scores_gemma":[0.9995388,0.0001132466,0.0001529999,0.00003234493,0.0001038363,0.00005891909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00007953362,0.0001041727,0.1047408,0.00004503809,0.00004744407,0.00009175266,0.0002649124,0.8608621,0.001561215,0.01090302,0.0008617282,0.02043829],"study_design_scores_gemma":[0.00003487377,0.000170225,0.0430976,0.00006938171,0.000026778,0.00001864093,0.0009186513,0.946934,0.001283956,0.005914993,0.001507734,0.00002318265],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9749919,0.0000536369,0.01833425,0.0004005086,0.000005104748,0.00003694198,0.0001488715,0.00003801395,0.005990786],"genre_scores_gemma":[0.9946077,0.00002430123,0.004899818,0.0000230694,6.368967e-7,0.00001386229,0.00006523598,0.000004438843,0.0003609711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1379043,"threshold_uncertainty_score":0.2742032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01149603004405532,"score_gpt":0.2085496759003517,"score_spread":0.1970536458562964,"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."}}