{"id":"W4401990215","doi":"10.1371/journal.pclm.0000485","title":"Climatic predictors of prominent honey bee (Apis mellifera) disease agents: Varroa destructor, Melissococcus plutonius, and Vairimorpha spp.","year":2024,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Insect and Pesticide Research","field":"Agricultural and Biological Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Water and Wastewater Association; University of Manitoba; University of Lethbridge; Université Laval; University of Victoria; Environment and Climate Change Canada; Canada's Michael Smith Genome Sciences Centre; York University; University of Guelph; Agriculture and Agri-Food Canada; University of British Columbia","funders":"Génome Québec; Ontario Genomics Institute; Genome Canada","keywords":"Varroa; Honey bee; Varroa destructor; Biology; Infestation; Ecology; Veterinary medicine; Spore; Zoology; Agronomy; Botany; Medicine","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":[0.0003171978,0.0001959587,0.0001828508,0.0005352897,0.0006060569,0.00062364,0.0002533967,0.0001527423,0.0006461657],"category_scores_gemma":[0.0009172414,0.0001281231,0.0002623899,0.0008352128,0.000297061,0.0001662932,0.0003382365,0.0003043561,0.00007360362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001857767,"about_ca_system_score_gemma":0.002308958,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8208247,"about_ca_topic_score_gemma":0.9348803,"domain_scores_codex":[0.999774,0.00002509236,0.00001602862,0.00007104477,0.00005048072,0.00006332178],"domain_scores_gemma":[0.9989769,0.0001122655,0.00028404,0.00005407671,0.0004076929,0.0001651347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002369636,0.000005251056,0.997618,0.000007954897,0.00003283954,0.0000133254,0.00008043031,0.0001417256,0.0008596883,0.00001703766,0.0001197314,0.001080254],"study_design_scores_gemma":[3.587128e-7,0.000001981323,0.999701,0.000001436192,0.000003780041,0.000006372324,0.00007326114,0.00008144658,0.00002775206,0.000001770688,0.00009982165,8.690812e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980206,0.0001927924,0.0001271133,0.0000385391,0.000003786915,0.000005785573,0.001002862,0.000006660164,0.0006017844],"genre_scores_gemma":[0.9989435,0.00008606684,0.0001486808,0.00001018191,0.000001773291,0.000003318,0.0006738018,0.000002117112,0.0001305739],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8208247,"threshold_uncertainty_score":0.3604609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02847515883624019,"score_gpt":0.2541966251846464,"score_spread":0.2257214663484062,"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."}}