{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006792169,0.00050347,0.000770717,0.00003608329,0.0007079662,0.0001920554,0.0005922488,0.0002428538,0.000002565184],"category_scores_gemma":[0.0002165835,0.0001740163,0.0002513528,0.0007283836,0.0004230654,0.0004799559,0.0001839772,0.000591428,4.621909e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001135799,"about_ca_system_score_gemma":0.00004808436,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002784196,"about_ca_topic_score_gemma":0.02185182,"domain_scores_codex":[0.9972382,0.0001452476,0.0009321042,0.0006403868,0.0004457693,0.0005982527],"domain_scores_gemma":[0.9985827,0.0003977932,0.0004753023,0.0001837894,0.0002891048,0.00007135348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00107554,0.001530061,0.0448508,0.002645528,0.001244665,0.00002442957,0.03018071,0.3097698,0.4166399,0.1484983,0.02829528,0.01524499],"study_design_scores_gemma":[0.004059334,0.0003723311,0.08710995,0.00253748,0.0003312184,0.0000412653,0.01991769,0.8600402,0.001624974,0.01900483,0.003536758,0.001423996],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9827195,0.003359577,0.001168483,0.006728047,0.0003181837,0.002423951,0.001334397,0.00005802736,0.001889839],"genre_scores_gemma":[0.9964692,0.00008410483,0.001711784,0.000145699,0.0001864944,0.000198019,0.0001264343,0.000006123063,0.001072171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5502704,"threshold_uncertainty_score":0.9959968,"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."}}