{"id":"W4410436032","doi":"10.1038/s43247-025-02358-2","title":"Intensive oyster farming enhances carbon storage in sediments over decades","year":2025,"lang":"en","type":"article","venue":"Communications Earth & Environment","topic":"Coastal wetland ecosystem dynamics","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Oyster; Fishery; Agriculture; Environmental science; Carbon fibers; Intensive farming; Oceanography; Biology; Geology; Ecology; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001418208,0.0002196172,0.0001403142,0.0004638958,0.0003394963,0.0003575384,0.0001530668,0.0001834915,0.0005725122],"category_scores_gemma":[0.000243396,0.0001209254,0.0002053385,0.000487472,0.0002147958,0.0004060703,0.0004111696,0.0001417029,0.00007981156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003542561,"about_ca_system_score_gemma":0.000373495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008946507,"about_ca_topic_score_gemma":0.02327404,"domain_scores_codex":[0.9999213,0.000005162291,0.000007093786,0.00003467827,0.00001215353,0.00001948095],"domain_scores_gemma":[0.9998061,0.0000193498,0.00007994596,0.00001888938,0.00004583294,0.00002987336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001553006,0.00003889255,0.6922209,0.0000678053,0.0001048155,0.0004840852,0.0003328251,0.0008368414,0.2931834,0.0001106486,0.0001096923,0.0123547],"study_design_scores_gemma":[0.000001135342,0.00002366981,0.9955609,0.000003236114,0.0000137071,0.00004025564,0.0001160218,0.0003145458,0.003590221,0.00002819835,0.0003050654,0.000003145677],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993339,0.00008549335,0.0001463906,0.000008912351,0.000001397478,0.000001300481,0.00008962857,0.000005339769,0.0003276011],"genre_scores_gemma":[0.9994094,0.00008398575,0.0001379155,0.00000935629,0.000001983399,0.000001966009,0.0001088702,0.000002277576,0.0002441983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008946507,"threshold_uncertainty_score":0.01778889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0106625703926999,"score_gpt":0.2439220405495942,"score_spread":0.2332594701568943,"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."}}