{"id":"W4409000241","doi":"10.1038/s41597-025-04869-1","title":"UrBAN: Urban Beehive Acoustics and PheNotyping Dataset","year":2025,"lang":"en","type":"article","venue":"Scientific Data","topic":"Insect and Pesticide Research","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Beehive; Apiary; Varroa; Population; Proxy (statistics); Geography; Drone; Swarming (honey bee); Mite; Beekeeping; Biology; Ecology; Computer science; Environmental health; Machine learning; 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":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"dataset","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"not_applicable","genre":"dataset","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008632111,0.00008650648,0.00009930955,0.0000276728,0.0006125917,0.0005402211,0.001055172,0.00004724789,0.0005234612],"category_scores_gemma":[0.0002835076,0.00003517185,0.00001211932,0.0005644535,0.0002864729,0.0002441829,0.001249739,0.000125217,0.00009943695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001045532,"about_ca_system_score_gemma":0.00003246352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001472354,"about_ca_topic_score_gemma":0.0002664549,"domain_scores_codex":[0.9987213,0.00005120947,0.0001342029,0.0005625042,0.0002277599,0.0003030107],"domain_scores_gemma":[0.999224,0.0002394109,0.0000286741,0.0003660505,0.00005712844,0.00008472535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008967781,0.00002639113,0.00176207,0.00001397989,0.000007667768,0.000003713709,0.00003175453,3.095865e-7,0.05191122,0.0007841357,0.9124054,0.03304444],"study_design_scores_gemma":[0.00009195333,0.00002433301,0.02857788,0.00004041635,0.00002309448,0.000002182239,0.0001919016,0.002999682,0.0005110057,0.001071159,0.9663206,0.0001457336],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7395066,0.004260264,0.00031089,0.005693248,0.003848526,0.00102821,0.2310054,0.000215268,0.0141316],"genre_scores_gemma":[0.9090791,0.00005045378,0.0002932519,0.0003582541,0.0003701049,0.000005844314,0.08284587,9.666934e-7,0.006996088],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1695726,"threshold_uncertainty_score":0.5731533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06181833617662907,"score_gpt":0.3063153138626512,"score_spread":0.2444969776860221,"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."}}