{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003718614,0.00124412,0.0007520918,0.001513528,0.000702142,0.0006531171,0.001539098,0.0009357731,0.004287573],"category_scores_gemma":[0.001125381,0.0002370015,0.0006373768,0.002599272,0.0004029532,0.0003216008,0.001065901,0.000712882,0.003934239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001843629,"about_ca_system_score_gemma":0.001843026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2969509,"about_ca_topic_score_gemma":0.5273774,"domain_scores_codex":[0.9995329,0.0000614677,0.00002969024,0.0001227127,0.0001284056,0.0001247375],"domain_scores_gemma":[0.9994018,0.00007606253,0.00004053914,0.0001330467,0.0002456396,0.000102863],"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":[0.0007366106,0.0006140823,0.09036613,0.001536626,0.0004882616,0.001098293,0.0006178492,0.01256677,0.01121037,0.001102199,0.7856874,0.09397538],"study_design_scores_gemma":[0.0003222566,0.0002856681,0.4893072,0.0002709163,0.0001807677,0.0008532695,0.001989764,0.03405587,0.005808023,0.001148682,0.4655363,0.0002413581],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.05043152,0.0005485258,0.003242495,0.0003390062,0.0001267475,0.0002155484,0.939844,0.002053668,0.003198554],"genre_scores_gemma":[0.04248213,0.00017307,0.003972347,0.0001051444,0.00002928288,0.0002800169,0.9511627,0.00006237828,0.001733004],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2969509,"threshold_uncertainty_score":0.5904449,"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."}}