{"id":"W2883460041","doi":"10.3390/genes9070359","title":"Strengthening the One Health Agenda: The Role of Molecular Epidemiology in Aspergillus Threat Management","year":2018,"lang":"en","type":"article","venue":"Genes","topic":"Antifungal resistance and susceptibility","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Hainan Medical University","keywords":"Standardization; Public health; Aspergillus; Epidemiology; Environmental health; Global health; Environmental resource management; Business; Environmental planning; Biology; Political science; Medicine; Geography; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.001135197,0.00007884666,0.0002577661,0.00003030457,0.00008573958,0.000001742856,0.0001267334,0.00003516205,0.00006723109],"category_scores_gemma":[0.00009432392,0.00004145513,0.00006703258,0.0001314982,0.0002395034,0.0000118724,0.00006377546,0.00009224232,0.00001442706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003799133,"about_ca_system_score_gemma":0.00003941213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003639768,"about_ca_topic_score_gemma":0.0005407223,"domain_scores_codex":[0.9989436,0.0002038405,0.0003121867,0.0001821024,0.0001214872,0.0002368448],"domain_scores_gemma":[0.9992635,0.0001269468,0.00009013843,0.0004502443,0.00003718806,0.00003200233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003131558,0.0001803807,0.5976073,0.0001538613,0.0002030337,0.00001311552,0.002102834,0.0000389852,0.009619766,0.02588569,0.000423884,0.363458],"study_design_scores_gemma":[0.0005030967,0.0003649904,0.965544,0.0001210915,0.00005636644,0.000005010009,0.003520973,0.0002988449,0.01005541,0.006611738,0.01283359,0.00008483322],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9737014,0.0155767,0.0004943176,0.005166672,0.00005432913,0.0003340283,0.000003053272,0.00001154772,0.004657919],"genre_scores_gemma":[0.9962816,0.001016788,0.0009897521,0.001377469,0.00007488259,0.00001128805,0.000003780595,0.000007312814,0.0002370802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3679368,"threshold_uncertainty_score":0.1690491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04769784617146017,"score_gpt":0.3350118992379579,"score_spread":0.2873140530664977,"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."}}