{"id":"W4411021733","doi":"10.1016/j.aquaeng.2025.102580","title":"Integration of process design and control of a pilot-scale recirculating aquaculture system","year":2025,"lang":"en","type":"article","venue":"Aquacultural Engineering","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Aquaculture; Environmental science; Recirculating aquaculture system; Process (computing); Scale (ratio); Engineering; Environmental engineering; Fish <Actinopterygii>; Fishery; Biology; Computer science; Geography","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":[0.0006997995,0.0008732325,0.0006734087,0.0002334521,0.0004452235,0.001128774,0.0007945551,0.0008048422,0.001669488],"category_scores_gemma":[0.0005172227,0.000427149,0.0006423101,0.0001903042,0.000345004,0.0004829931,0.0005195512,0.0007192516,0.0002557422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00058988,"about_ca_system_score_gemma":0.001565498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006428072,"about_ca_topic_score_gemma":0.004920376,"domain_scores_codex":[0.9996362,0.00007966084,0.00001552885,0.0001050258,0.0001071962,0.00005634897],"domain_scores_gemma":[0.9997419,0.00009915009,0.00005330892,0.00001606005,0.00007277542,0.00001683098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000877979,0.00009381929,0.0003680663,0.0001326469,0.00001943974,0.0001250701,0.00004300258,0.9609932,0.01878824,0.001106687,0.0001519817,0.01809005],"study_design_scores_gemma":[0.00001559418,0.0002418057,0.0002826806,0.000004663621,0.00001851372,0.00001319419,0.00001248004,0.9942509,0.004368156,0.0002563623,0.000529304,0.000006435262],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1237017,0.0002979764,0.8665133,0.0001814363,0.00004750202,0.0002713917,0.00007762782,0.0003498566,0.008559195],"genre_scores_gemma":[0.9440101,0.0001803353,0.05299317,0.00003007165,0.00001508045,0.0002255598,0.00005712903,0.00002679326,0.002461684],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006428072,"threshold_uncertainty_score":0.01278132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01571892431868197,"score_gpt":0.234870233687517,"score_spread":0.2191513093688351,"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."}}