{"id":"W4387184603","doi":"10.3389/fsufs.2023.1281447","title":"Defining and averting syndemic pathways in aquaculture: a major global food sector","year":2023,"lang":"en","type":"article","venue":"Frontiers in Sustainable Food Systems","topic":"Zoonotic diseases and public health","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Biotechnology and Biological Sciences Research Council; Natural Environment Research Council; Sight Research UK; Department for Environment, Food and Rural Affairs, UK Government; Government of the United Kingdom","keywords":"Operationalization; Syndemic; Business; Aquaculture; Poverty; Sustainability; Environmental planning; Sustainable development; Environmental resource management; Natural resource economics; Risk analysis (engineering); Fishery; Economics; Economic growth; Ecology; Fish <Actinopterygii>; Geography; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004105681,0.0004822364,0.0003808591,0.001434829,0.001800972,0.003776197,0.0008306373,0.001812872,0.004053779],"category_scores_gemma":[0.004686887,0.0001723685,0.0004860457,0.0009800578,0.003969701,0.003514932,0.006752754,0.002522132,0.0003327806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003044092,"about_ca_system_score_gemma":0.01110347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007926977,"about_ca_topic_score_gemma":0.01238121,"domain_scores_codex":[0.9986783,0.0006354965,0.00006643044,0.0001457915,0.0002269137,0.0002471342],"domain_scores_gemma":[0.9966829,0.0008648762,0.000857443,0.0001151269,0.0004570326,0.001022493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002468946,0.0009313139,0.1884875,0.00252042,0.0002034802,0.001958643,0.01039578,0.00318002,0.003456643,0.2873406,0.03019339,0.4710854],"study_design_scores_gemma":[0.00007757094,0.001143376,0.1494843,0.007471317,0.000211199,0.001839894,0.04746076,0.007126965,0.002281977,0.5993916,0.1833737,0.0001372385],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2368354,0.0625333,0.03170764,0.6054742,0.001566105,0.0002501369,0.0005040435,0.0001724806,0.0609566],"genre_scores_gemma":[0.9026674,0.04893294,0.01565085,0.02567307,0.0008710559,0.0001962869,0.0002747384,0.00002741172,0.005706287],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007926977,"threshold_uncertainty_score":0.02208656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01579696016217677,"score_gpt":0.2522103411164403,"score_spread":0.2364133809542635,"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."}}