{"id":"W4315796344","doi":"10.1002/edn3.385","title":"Airborne eDNA documents a diverse and ecologically complex tropical bat and other mammal community","year":2023,"lang":"en","type":"article","venue":"Environmental DNA","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; York University","funders":"Natural Sciences and Engineering Research Council of Canada; Edwards Lifesciences","keywords":"Environmental DNA; Sampling (signal processing); Biodiversity; Abundance (ecology); Ecology; Citizen science; Environmental science; Biology; Filter (signal processing)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002254236,0.0001732517,0.0001039167,0.0008578381,0.0004045798,0.0005351551,0.000187871,0.000213047,0.001994718],"category_scores_gemma":[0.0003249184,0.00009556853,0.00009885176,0.0004351635,0.000384087,0.0002747319,0.0004025646,0.0001649737,0.0003403059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001635317,"about_ca_system_score_gemma":0.0001085397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003312766,"about_ca_topic_score_gemma":0.009114034,"domain_scores_codex":[0.9998043,0.00002838582,0.00001535711,0.00007561556,0.00004092729,0.00003545173],"domain_scores_gemma":[0.9996809,0.0000832397,0.0001023391,0.00002437104,0.00006115286,0.00004802269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001758017,0.0000699923,0.4802466,0.0001365716,0.0000643424,0.0006673765,0.002041236,0.0002539876,0.4920622,0.0001983671,0.0001757307,0.02390787],"study_design_scores_gemma":[0.000003931134,0.000254735,0.9721215,0.00003651478,0.00003883921,0.001776202,0.002441963,0.0008173636,0.01996127,0.00009699784,0.002440571,0.00001011033],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966349,0.0001317432,0.001344504,0.00001820217,0.000003923977,0.00001669599,0.0002755321,0.00001584087,0.001558676],"genre_scores_gemma":[0.9949402,0.00009308781,0.003810297,0.00004688295,0.000007769974,0.00001622551,0.0002816402,0.000008571926,0.0007953461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003312766,"threshold_uncertainty_score":0.006673038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02859164218727955,"score_gpt":0.2289150415937809,"score_spread":0.2003233994065013,"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."}}