{"id":"W4413093831","doi":"10.1016/j.pt.2025.07.006","title":"Beyond genomics: a multiomics future for parasitology","year":2025,"lang":"en","type":"article","venue":"Trends in Parasitology","topic":"Insect symbiosis and bacterial influences","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Genomics; Parasitology; Context (archaeology); Biology; Computational biology; Metabolomics; Systems biology; Proteomics; Functional genomics; Data science; Bioinformatics; Genetics; Genome; Gene; Zoology; Computer science","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":[0.0001586601,0.0001792575,0.0003712657,0.0000898373,0.0001602462,0.00003178279,0.0003195011,0.0003377623,0.0002102916],"category_scores_gemma":[0.00002224527,0.00008062059,0.0001237564,0.0004688416,0.0001262051,0.00006191877,0.00004717477,0.0001289316,0.00001296406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004487686,"about_ca_system_score_gemma":0.00001347968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002121525,"about_ca_topic_score_gemma":0.005861265,"domain_scores_codex":[0.9986815,0.00008747765,0.0003534484,0.0004028977,0.00004463932,0.0004300222],"domain_scores_gemma":[0.9994918,0.0002531775,0.00009302153,0.00007860002,0.00004316262,0.00004023109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005783401,0.0002928337,0.3859492,0.00001632583,0.00008034871,0.00001483663,0.0002202012,0.00001218569,0.2462348,0.03008539,0.005494275,0.3310213],"study_design_scores_gemma":[0.0006855751,0.0002823039,0.9145593,0.00001095071,0.00003016372,0.00001633223,0.0002623203,0.00010272,0.00704508,0.007714815,0.06902802,0.000262415],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897687,0.0002616115,0.000007160605,0.005032452,0.001841527,0.0001639177,0.00006443505,0.00005085407,0.002809308],"genre_scores_gemma":[0.9971039,0.00005216983,0.000521955,0.001075051,0.0006229737,0.0001048822,0.0001471587,0.000001069314,0.000370794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5286101,"threshold_uncertainty_score":0.3287612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01600395996839396,"score_gpt":0.3142940333290434,"score_spread":0.2982900733606494,"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."}}