{"id":"W2885984384","doi":"10.3354/aei00276","title":"Spatio-temporal dynamics in the dissolved nutrient waste plume from Norwegian salmon cage aquaculture","year":2018,"lang":"en","type":"article","venue":"Aquaculture Environment Interactions","topic":"Marine Bivalve and Aquaculture Studies","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"Norges Forskningsråd; Havforskningsinstituttet","keywords":"Plume; Environmental science; Nutrient; Aquaculture; Fishery; Effluent; Oceanography; Fishing; Fish <Actinopterygii>; Geography; Ecology; Environmental engineering; Biology; Geology","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002150868,0.0004964878,0.0003534127,0.00004951874,0.0006156099,0.0001345825,0.000697715,0.0001626438,0.007043325],"category_scores_gemma":[0.00004965055,0.0003150776,0.0002373202,0.0003409166,0.0004837585,0.0005047538,0.0004099029,0.0006796992,0.003036937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007979223,"about_ca_system_score_gemma":0.000006709285,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003452361,"about_ca_topic_score_gemma":0.04687973,"domain_scores_codex":[0.9972601,0.0002075978,0.0005344447,0.0007789784,0.000669617,0.0005492426],"domain_scores_gemma":[0.9987904,0.0001111471,0.000245447,0.0007012418,0.00001209459,0.0001396777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004347181,0.003196458,0.5039856,0.00002623446,0.0004725647,0.0001530336,0.05270808,0.0007467489,0.009783872,0.002719714,0.4207992,0.004973681],"study_design_scores_gemma":[0.0007824382,0.0001965479,0.0873742,0.00005398807,0.0001260662,0.00001934988,0.0174249,0.001708946,0.000899637,0.0009740488,0.8897625,0.0006773541],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8917401,0.0001188958,0.002039804,0.01793405,0.0008840137,0.001523362,0.0004219855,0.0001354932,0.08520231],"genre_scores_gemma":[0.9868509,0.0001088766,0.0009173856,0.001116149,0.0006296925,0.0001486788,0.001071877,0.00003338391,0.009123039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4689633,"threshold_uncertainty_score":0.9999301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009881562125772046,"score_gpt":0.2384277301934158,"score_spread":0.2285461680676438,"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."}}