{"id":"W7110091504","doi":"10.5061/dryad.kwh70rzhh","title":"Data from: Innovative airborne DNA approach for monitoring honey bee foraging and health","year":2025,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Water and Wastewater Association; Laurentian University; York University","funders":"","keywords":"Foraging; Apiary; Honey bee; Pollinator; Sampling (signal processing); Environmental DNA; Generalist and specialist species; Beekeeping","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0006930392,0.0005561999,0.0004699261,0.0018591,0.0003538403,0.0007736923,0.0005083641,0.000815694,0.002386969],"category_scores_gemma":[0.002253805,0.0002632228,0.0004759024,0.00159104,0.000174446,0.0005995927,0.000827734,0.0006678826,0.001302347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001972599,"about_ca_system_score_gemma":0.0003635677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001744186,"about_ca_topic_score_gemma":0.005054478,"domain_scores_codex":[0.9990327,0.000214544,0.00009222831,0.0003149238,0.0002814064,0.00006423818],"domain_scores_gemma":[0.9982312,0.0004139747,0.0004528599,0.0002230608,0.0005675222,0.0001113242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001244721,0.0003998286,0.2209109,0.001404555,0.0005241167,0.0005577295,0.001309331,0.001929508,0.4858162,0.0009275677,0.007973711,0.2770018],"study_design_scores_gemma":[0.0001212534,0.002141373,0.6824514,0.0004531106,0.0006955886,0.003034711,0.002207861,0.02544714,0.2002539,0.004208621,0.07870641,0.0002785935],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.7568215,0.002993239,0.1553615,0.0008364986,0.0004270747,0.0008244942,0.07054055,0.002191689,0.01000344],"genre_scores_gemma":[0.6301321,0.001194883,0.3231254,0.001096238,0.0002341416,0.001007074,0.03546746,0.0003535825,0.007389087],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.002386969,"threshold_uncertainty_score":0.007985175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2031064314443144,"score_gpt":0.4253903999686105,"score_spread":0.2222839685242961,"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."}}