{"id":"W4415486534","doi":"10.1146/annurev-micro-082024-094943","title":"Decoding Microbial Community Assembly: Insights on Vectors of Infectious Diseases","year":2025,"lang":"en","type":"review","venue":"Annual Review of Microbiology","topic":"Insect symbiosis and bacterial influences","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; ASL Environmental Sciences (Canada)","funders":"","keywords":"Microbiome; Vector (molecular biology); Metagenomics; Microbial population biology; Human Microbiome Project; Systems biology; Key (lock); Infectious disease (medical specialty)","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":[0.0008550452,0.00122521,0.001557368,0.002329344,0.0002657989,0.001517211,0.0007930607,0.001439144,0.001797778],"category_scores_gemma":[0.001509182,0.0003964,0.0006540041,0.001834423,0.0007180369,0.002038106,0.0008156181,0.001500166,0.001135586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000728066,"about_ca_system_score_gemma":0.001133993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00151679,"about_ca_topic_score_gemma":0.001930248,"domain_scores_codex":[0.9996425,0.0000845243,0.00003097828,0.00007603978,0.0001275171,0.00003849644],"domain_scores_gemma":[0.9993124,0.0003494192,0.0001052188,0.00002190996,0.0001641992,0.00004692409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007011344,0.00004956076,0.0008347203,0.02428836,0.000216905,0.0001533168,0.0001676168,0.001129564,0.01052939,0.01211572,0.01434559,0.9360991],"study_design_scores_gemma":[0.00001852694,0.0002431692,0.00423772,0.007303256,0.00031486,0.001068362,0.0002959836,0.001155513,0.006481542,0.01142971,0.9673565,0.00009483837],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003037039,0.997955,0.0006242865,0.0002921759,0.0001702073,0.000004101017,0.00002597909,0.00001110743,0.000613578],"genre_scores_gemma":[0.002638382,0.9959667,0.0006708022,0.0001378939,0.0001529729,0.000006205782,0.00004462844,0.000003371963,0.0003790247],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002329344,"threshold_uncertainty_score":0.006014109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02350798179850928,"score_gpt":0.2981597700912091,"score_spread":0.2746517882926999,"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."}}