{"id":"W4406016070","doi":"10.1038/s41598-024-79675-7","title":"Regional patterns and climatic predictors of viruses in honey bee (Apis mellifera) colonies over time","year":2025,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Insect and Pesticide Research","field":"Agricultural and Biological Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Water and Wastewater Association; University of Manitoba; University of Lethbridge; Laurentian University; Université Laval; Carleton University; University of British Columbia; Environment and Climate Change Canada; Canada's Michael Smith Genome Sciences Centre; York University; University of Guelph; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Genome British Columbia; Government of Canada; Genome Canada; Ontario Genomics; Ontario Genomics Institute","keywords":"Honey bee; Biology; Honey Bees; Zoology; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0006589906,0.0001841889,0.0002423502,0.0005891995,0.0003933624,0.0007810061,0.0002902945,0.0002768385,0.0006797104],"category_scores_gemma":[0.001640359,0.0001747443,0.0003385842,0.0008650746,0.0003496857,0.0002927899,0.000484365,0.0004010819,0.0001538429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007140529,"about_ca_system_score_gemma":0.0005070533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1822757,"about_ca_topic_score_gemma":0.283196,"domain_scores_codex":[0.999666,0.00005939351,0.00002552681,0.0001378088,0.00003968925,0.00007163802],"domain_scores_gemma":[0.9983463,0.0003029607,0.0005596047,0.0001255921,0.0003852763,0.0002802309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002368012,0.00000547744,0.998427,0.000003702756,0.00004017519,0.00001469871,0.00008474306,0.0002158476,0.000581958,0.0000111961,0.00008656087,0.0005050168],"study_design_scores_gemma":[6.125437e-7,0.000004001829,0.9994809,0.000001969558,0.000006154643,0.00001174831,0.0001126018,0.0002687654,0.00002983282,0.000002795011,0.0000792785,0.000001462529],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989968,0.0001152833,0.00006931115,0.00002263461,0.000002140887,0.000001796644,0.0006533859,0.000003899252,0.0001347223],"genre_scores_gemma":[0.9986333,0.00007429185,0.0001121344,0.000008786986,0.000003286251,0.000004197924,0.001078849,0.000003659501,0.00008147963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1822757,"threshold_uncertainty_score":0.3624294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02344944621050689,"score_gpt":0.2697875690911915,"score_spread":0.2463381228806846,"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."}}