{"id":"W4412862437","doi":"10.1016/j.aquaculture.2025.743014","title":"The novel model INEDM and two traditional models for estimating the carrying capacity of Hong Kong oyster (Crassostrea hongkongensis) in two aquaculture systems in Guangdong Province of China [Aquaculture Volume 609, July 2025.]","year":2025,"lang":"en","type":"article","venue":"Aquaculture","topic":"Fisheries and Aquaculture Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Agriculture","funders":"","keywords":"Aquaculture; Biology; Fishery; Oyster; China; Carrying capacity; Crassostrea; Shellfish; Volume (thermodynamics); Aquatic animal; Ecology; Fish <Actinopterygii>; Archaeology; Geography","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":[0.001614872,0.000732902,0.0005181713,0.0006205258,0.0003834681,0.0007264346,0.001487701,0.0006702163,0.001348842],"category_scores_gemma":[0.00232128,0.0003214926,0.0007396198,0.0007059412,0.000337871,0.0009899442,0.0009150979,0.0007171606,0.0001800182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001159215,"about_ca_system_score_gemma":0.001198369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06368382,"about_ca_topic_score_gemma":0.04613923,"domain_scores_codex":[0.9996362,0.0001510691,0.00002183738,0.0001113349,0.00002629643,0.00005328393],"domain_scores_gemma":[0.9992249,0.0004873287,0.00007364406,0.00006155727,0.0001184052,0.0000341612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002212481,0.0001478819,0.04592679,0.00009790166,0.0002127842,0.0001145824,0.00006978112,0.91317,0.0006700606,0.002025599,0.00109971,0.03624363],"study_design_scores_gemma":[0.000009170021,0.00002264971,0.005278725,0.000005121478,0.00002116027,0.00001379519,0.00003053248,0.9937487,0.0001238096,0.0005692689,0.0001686338,0.000008462866],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.798844,0.0008187583,0.1955167,0.0006004528,0.000105886,0.00005340227,0.00161925,0.0002995114,0.002141995],"genre_scores_gemma":[0.9711424,0.0002237169,0.02456,0.00007011311,0.00003327879,0.00008228515,0.00143782,0.00002260047,0.002427868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06368382,"threshold_uncertainty_score":0.1266263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03647746396372301,"score_gpt":0.2460082547320845,"score_spread":0.2095307907683615,"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."}}