{"id":"W2899885327","doi":"10.1111/raq.12304","title":"Performance measures and models for open‐water integrated multi‐trophic aquaculture","year":2018,"lang":"en","type":"article","venue":"Reviews in Aquaculture","topic":"Marine Bivalve and Aquaculture Studies","field":"Environmental Science","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; HIV Legal Network; Fisheries and Oceans Canada; University of New Brunswick","funders":"","keywords":"Aquaculture; Empirical modelling; Trophic level; Environmental science; Ecology; System dynamics; Biochemical engineering; Computer science; Fishery; Biology; Fish <Actinopterygii>; Simulation; Engineering","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":[0.0008197127,0.0004267248,0.0006576352,0.0000337097,0.0003669265,0.0001180819,0.0006309562,0.0001908914,0.0003853269],"category_scores_gemma":[0.0001098312,0.0002172974,0.0001282746,0.0003108852,0.0003342973,0.0006113638,0.0006263075,0.000289427,0.0003175334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009853577,"about_ca_system_score_gemma":0.000007552653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000249524,"about_ca_topic_score_gemma":0.001902673,"domain_scores_codex":[0.9979118,0.0001330001,0.0005190826,0.0006951213,0.0002212023,0.0005198372],"domain_scores_gemma":[0.9993525,0.00001695127,0.0001182842,0.0003352815,0.0000577129,0.0001193261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006794784,0.001055276,0.06761833,0.001119625,0.0002698071,0.00001787567,0.03210003,0.0004457083,0.06080066,0.002177754,0.2748719,0.5588436],"study_design_scores_gemma":[0.001038168,0.0001981873,0.003319656,0.0002880907,0.00005101461,0.00001440851,0.0002117423,0.004254538,0.001534405,0.0005145884,0.9880639,0.0005112616],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6609798,0.08150263,0.01347274,0.01261581,0.001828799,0.03683119,0.0003436925,0.0007081555,0.1917172],"genre_scores_gemma":[0.898627,0.02961493,0.0399906,0.00301353,0.0004141045,0.001183345,0.0001740673,0.0000861005,0.02689626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.713192,"threshold_uncertainty_score":0.8861131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0591508422471725,"score_gpt":0.3051113087858872,"score_spread":0.2459604665387147,"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."}}