{"id":"W4382498668","doi":"10.3389/faquc.2023.1147524","title":"Integrated multi-trophic aquaculture with sugar kelp and oysters in a shallow coastal salt pond and open estuary site","year":2023,"lang":"en","type":"article","venue":"Frontiers in Aquaculture","topic":"Marine and coastal plant biology","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Office of Experimental Program to Stimulate Competitive Research; Watershed Watch Salmon Society; National Oceanic and Atmospheric Administration; National Science Foundation","keywords":"Kelp; Fishery; Aquaculture; Estuary; Oyster; Biomass (ecology); Environmental science; Bay; Shellfish; Biology; Nutrient; Water quality; Kelp forest; Agronomy; Ecology; Aquatic animal; Oceanography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002312627,0.0002551682,0.0001787262,0.0003090697,0.0006355564,0.0003193893,0.0003901363,0.0001439577,0.0004454971],"category_scores_gemma":[0.0001970399,0.0001430175,0.0002769156,0.000301685,0.00039914,0.000255293,0.0007400153,0.0002674622,0.000106743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008243898,"about_ca_system_score_gemma":0.001045526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03541939,"about_ca_topic_score_gemma":0.2047826,"domain_scores_codex":[0.9998586,0.0000133921,0.000007853724,0.00005535715,0.00003213051,0.00003257716],"domain_scores_gemma":[0.9997383,0.00001780154,0.00004734906,0.00002386969,0.00005741062,0.0001152884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000765087,0.0008579525,0.7107168,0.00006342162,0.00009771078,0.002393942,0.0034416,0.001388085,0.2569538,0.000119735,0.0001858833,0.02301599],"study_design_scores_gemma":[0.00001632147,0.001122518,0.9870828,0.000007348724,0.000041617,0.0001608541,0.00310459,0.002375746,0.005429641,0.00004449232,0.0005995306,0.00001445253],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997395,0.000002447793,0.00005596014,0.000002723974,4.052056e-7,0.000005759069,0.00001901932,0.000003019798,0.0001712454],"genre_scores_gemma":[0.9978376,0.00001531127,0.001205507,0.00001810309,8.046443e-7,0.00002000204,0.0001292789,0.000003418863,0.0007699213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03541939,"threshold_uncertainty_score":0.0704264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01299419986120268,"score_gpt":0.2122527710523163,"score_spread":0.1992585711911136,"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."}}