{"id":"W4414146269","doi":"10.1002/eap.70097","title":"Seasonal asynchrony and harvest diversification contribute to demersal finfish fisheries stability in Chesapeake Bay","year":2025,"lang":"en","type":"article","venue":"Ecological Applications","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"Virginia Sea Grant, Virginia Institute of Marine Science; U.S. Fish and Wildlife Service; Virginia Marine Resources Commission","keywords":"Asynchrony (computer programming); Fishing; Demersal fish; Ecosystem; Species evenness; Biomass (ecology); Fisheries management; Biodiversity; Overfishing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002969058,0.0001594325,0.00009762496,0.0006380219,0.0003405379,0.0004971853,0.0002019743,0.0001544124,0.001123416],"category_scores_gemma":[0.001179453,0.0001240712,0.0001459263,0.0004342191,0.0002966854,0.0003776989,0.0005022642,0.0002111128,0.00007589441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008474264,"about_ca_system_score_gemma":0.000422554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06610102,"about_ca_topic_score_gemma":0.1955674,"domain_scores_codex":[0.9998708,0.00001579149,0.00001288525,0.00005593713,0.00001933744,0.00002525042],"domain_scores_gemma":[0.999175,0.0001082144,0.0004300606,0.00005086639,0.00009205672,0.0001437254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002265563,0.00001121762,0.9966009,0.000003947034,0.00001959939,0.0000490686,0.0001850421,0.0001626575,0.001252707,0.0000208902,0.00004898024,0.00162231],"study_design_scores_gemma":[3.296656e-7,0.000003771254,0.9996578,8.570746e-7,0.000002121054,0.00000698473,0.00009420828,0.0001665503,0.0000312848,0.000008100296,0.00002728313,6.907797e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997327,0.00001897659,0.00003412992,0.00002165908,8.235307e-7,0.000001021738,0.00004671401,0.000002051952,0.0001419113],"genre_scores_gemma":[0.9997934,0.00001110682,0.00004549342,0.00000741075,0.000001922891,0.00000132304,0.00004637318,5.353339e-7,0.00009248198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06610102,"threshold_uncertainty_score":0.1314325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01681907891921213,"score_gpt":0.2493831699594048,"score_spread":0.2325640910401927,"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."}}