{"id":"W3174733134","doi":"10.1111/tbed.14195","title":"DTU‐DADS‐Aqua: A simulation framework for modelling waterborne spread of highly infectious pathogens in marine aquaculture","year":2021,"lang":"en","type":"article","venue":"Transboundary and Emerging Diseases","topic":"Animal Disease Management and Epidemiology","field":"Agricultural and Biological Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; University of Prince Edward Island","funders":"Canada First Research Excellence Fund; Ocean Frontier Institute; Canada Excellence Research Chairs, Government of Canada","keywords":"Salmo; Outbreak; Culling; Simulation modeling; Population; Transmission (telecommunications); Aquaculture; Environmental science; Fishery; Biology; Ecology; Computer science; Fish <Actinopterygii>; Environmental health; Virology; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001035762,0.0001477347,0.0002723638,0.00001972109,0.0001720596,0.00003212626,0.00006723926,0.00008721252,0.0001423651],"category_scores_gemma":[0.00006036148,0.00007352589,0.0001379818,0.000221873,0.00006406786,0.0001295058,0.00003402784,0.00007564297,0.000001451758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009335312,"about_ca_system_score_gemma":0.000009265243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000167409,"about_ca_topic_score_gemma":0.0002433236,"domain_scores_codex":[0.9990025,0.00007738372,0.0002754824,0.0003100333,0.00008601417,0.0002485437],"domain_scores_gemma":[0.9994426,0.0003127077,0.00005843738,0.00004766042,0.00005178252,0.00008683513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002041959,0.001429991,0.637421,0.001170575,0.0002845571,0.00008921638,0.001353621,0.1679206,0.02416971,0.03736788,0.0001771182,0.1265739],"study_design_scores_gemma":[0.001228013,0.0005827692,0.7346971,0.000318484,0.0004653842,0.000002845033,0.0009134033,0.09628902,0.0005168351,0.1515154,0.01267879,0.0007919429],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923011,0.001106931,0.005224667,0.0008033842,0.00006046368,0.0002008543,0.0001578696,0.00004823345,0.00009647779],"genre_scores_gemma":[0.9981947,0.0003953552,0.0006113556,0.0001934762,0.0001144099,0.00002402746,0.0004156186,0.000002081811,0.00004897025],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1257819,"threshold_uncertainty_score":0.2998299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02675107631967003,"score_gpt":0.2624066919935862,"score_spread":0.2356556156739162,"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."}}