{"id":"W2727351935","doi":"10.1002/eap.1595","title":"Impact of disease on the survival of three commercially fished species","year":2017,"lang":"en","type":"article","venue":"Ecological Applications","topic":"Aquaculture disease management and microbiota","field":"Immunology and Microbiology","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"Virginia Sea Grant, Virginia Institute of Marine Science; Dominion Energy; U.S. Fish and Wildlife Service; Virginia Marine Resources Commission; Atlantic States Marine Fisheries Commission; National Oceanic and Atmospheric Administration; National Science Foundation","keywords":"Biology; Fishery; Epizootic; Homarus; Population; Mark and recapture; American lobster; Mortality rate; Bass (fish); Ecology; Zoology; Crustacean; Demography; Outbreak","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006148536,0.0002679244,0.0001177163,0.0003388967,0.0002396551,0.0004117227,0.000211054,0.0002064709,0.0005626187],"category_scores_gemma":[0.001052184,0.00008927039,0.0002865988,0.0001562583,0.0002855318,0.0002042407,0.0003466558,0.000260738,0.0001161187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001079214,"about_ca_system_score_gemma":0.0003318286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02902598,"about_ca_topic_score_gemma":0.06783026,"domain_scores_codex":[0.9997764,0.00007953264,0.00001529412,0.00004794449,0.00003585856,0.00004496419],"domain_scores_gemma":[0.9990956,0.0003327064,0.0002737389,0.00005085594,0.0001272397,0.0001200276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002629988,0.00005304164,0.9847252,0.00002367371,0.0001151339,0.0000987471,0.0001726889,0.001254963,0.008854816,0.00006305173,0.0000623187,0.004313353],"study_design_scores_gemma":[0.000004349457,0.0003567078,0.9952311,0.000004851809,0.00003189609,0.0001189926,0.0001631351,0.002620468,0.001345363,0.00002221313,0.00009480381,0.000006213185],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997435,0.00003460755,0.00004354994,0.000008718266,3.974592e-7,9.073332e-7,0.00005086913,0.000001577842,0.0001159117],"genre_scores_gemma":[0.9996613,0.00003019151,0.00007848615,0.00000797091,3.778293e-7,0.000002039382,0.0001209006,5.816536e-7,0.00009814766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02902598,"threshold_uncertainty_score":0.05771405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04132714739864752,"score_gpt":0.2891700533048015,"score_spread":0.247842905906154,"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."}}