{"id":"W4409551351","doi":"10.1101/2025.04.15.648983","title":"A non-invasive method for profiling the gut microbiome and virome of honey bee queens","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Insect and Pesticide Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Agriculture and Agri-Food Canada; University of Lethbridge","funders":"Agriculture and Agri-Food Canada; Mitacs; Government of Canada","keywords":"Human virome; Microbiome; Gut microbiome; Biology; Profiling (computer programming); Honey bee; Computational biology; Metagenomics; Zoology; Genetics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004575498,0.0004397341,0.0002784623,0.0005797634,0.0003221664,0.0006250005,0.0002736311,0.000646138,0.00159349],"category_scores_gemma":[0.0006154504,0.0002266065,0.0002850686,0.000280795,0.0002609847,0.0002585126,0.0005886343,0.0006621734,0.0009707813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009428191,"about_ca_system_score_gemma":0.0002359688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004971817,"about_ca_topic_score_gemma":0.001644618,"domain_scores_codex":[0.999535,0.0000952185,0.00002250518,0.0001494796,0.0001621114,0.00003571624],"domain_scores_gemma":[0.9996445,0.00009480468,0.00007849464,0.00008139088,0.00005861393,0.00004208236],"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":[0.00006624767,0.00003497639,0.006926587,0.0000683328,0.00002723652,0.00004476962,0.00007598608,0.00007445173,0.9840799,0.00007481587,0.000384845,0.008141853],"study_design_scores_gemma":[0.00006822931,0.000773341,0.2754429,0.0001072839,0.0001652666,0.001283529,0.000544241,0.01041405,0.6891026,0.001150459,0.02084911,0.00009895452],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8012007,0.003065984,0.1768872,0.0006903716,0.0002570305,0.0005340693,0.01280728,0.001045998,0.003511276],"genre_scores_gemma":[0.6646801,0.001954075,0.3137253,0.00123707,0.0001829414,0.001056964,0.007769662,0.0003767511,0.00901721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00159349,"threshold_uncertainty_score":0.005330801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02166201211555971,"score_gpt":0.2615886209800654,"score_spread":0.2399266088645056,"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."}}