{"id":"W4285155027","doi":"10.3354/aei00434","title":"Modeling the effect of cage drag on particle residence time within fish farms in the Bay of Fundy","year":2022,"lang":"en","type":"article","venue":"Aquaculture Environment Interactions","topic":"Marine Bivalve and Aquaculture Studies","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"","keywords":"Bay; Drag; Residence time (fluid dynamics); Environmental science; Cage; Drag coefficient; Flow (mathematics); Fishery; Aquaculture; Bathymetry; Oceanography; Atmospheric sciences; Fish <Actinopterygii>; Geology; Physics; Mechanics; Biology; Geotechnical engineering; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006402931,0.0001642029,0.0001939544,0.00001858254,0.0003686748,0.00001398168,0.0004380338,0.00002305683,0.002603073],"category_scores_gemma":[0.00006592013,0.00008482031,0.0001286844,0.0002055738,0.0001594588,0.0001207283,0.0003403037,0.0004251383,0.0001187097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000116705,"about_ca_system_score_gemma":0.00000248933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003303475,"about_ca_topic_score_gemma":0.0004262779,"domain_scores_codex":[0.9982604,0.0004300653,0.0003360473,0.0002585366,0.0005292087,0.0001857899],"domain_scores_gemma":[0.999135,0.0003071151,0.0001434137,0.0003871788,0.000002300254,0.00002496937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0003289183,0.0006287259,0.05664579,0.00002233623,0.0001149162,0.00001539893,0.02719652,0.8457263,0.05521658,0.0004438642,0.01287219,0.0007885181],"study_design_scores_gemma":[0.00599932,0.00894367,0.2892599,0.000372369,0.00108501,0.0002182564,0.070896,0.2321425,0.1234065,0.002337671,0.2627965,0.002542187],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990357,0.00003161403,0.00005193562,0.003337957,0.00006818144,0.0004493995,0.00002921542,0.000009796066,0.005664886],"genre_scores_gemma":[0.997205,0.0000191448,0.00003373626,0.0003848875,0.00002431476,0.0001608359,0.00001310491,0.000008941463,0.002150071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6135837,"threshold_uncertainty_score":0.9983087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01121162512630362,"score_gpt":0.2428980045933348,"score_spread":0.2316863794670312,"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."}}