{"id":"W2967229049","doi":"10.1186/s12915-019-0684-y","title":"MARPLE, a point-of-care, strain-level disease diagnostics and surveillance tool for complex fungal pathogens","year":2019,"lang":"en","type":"article","venue":"BMC Biology","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":123,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Biotechnology and Biological Sciences Research Council; Consortium of International Agricultural Research Centers; Ethiopian Institute of Agricultural Research; Oxford Nanopore Technologies; John Innes Foundation; Directorate for Biological Sciences; Aarhus Universitet","keywords":"Biology; Strain (injury); Disease; Microbiology; Internal medicine","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":[0.00108481,0.001192471,0.0007397041,0.001551284,0.0003501342,0.001651333,0.0009685221,0.001890643,0.002824842],"category_scores_gemma":[0.00166899,0.0005871111,0.0006107553,0.000390126,0.0004838345,0.001477959,0.001358991,0.001626007,0.002093549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002878014,"about_ca_system_score_gemma":0.0003028405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002020181,"about_ca_topic_score_gemma":0.0006030015,"domain_scores_codex":[0.9984626,0.0002747423,0.00005243434,0.0004979944,0.0006262568,0.00008594593],"domain_scores_gemma":[0.9985577,0.0004569117,0.0003849391,0.0001967986,0.0001988586,0.0002046314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001558632,0.00010096,0.002084506,0.0002161616,0.00002588061,0.0001818263,0.00009360765,0.0003030465,0.9421273,0.0005272432,0.001275342,0.05290832],"study_design_scores_gemma":[0.000040993,0.0009865322,0.008612972,0.00008928718,0.00009506874,0.004047325,0.0001382792,0.01320603,0.9366763,0.0007110084,0.03526376,0.0001325253],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2877043,0.008269635,0.6668556,0.002168113,0.0004328741,0.0009119908,0.00441721,0.01939225,0.009847928],"genre_scores_gemma":[0.3238954,0.002593039,0.6595587,0.001078025,0.0001690918,0.0005730926,0.002829159,0.0006524878,0.008651068],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002824842,"threshold_uncertainty_score":0.009450018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04062480473422078,"score_gpt":0.2510408466020214,"score_spread":0.2104160418678006,"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."}}