{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001995705,0.000309497,0.0002638903,0.00004244422,0.0008795958,0.00004176652,0.0002998674,0.0001185447,0.005049778],"category_scores_gemma":[0.00001763767,0.0002901221,0.00006222163,0.000107268,0.001803356,0.000223092,0.002878829,0.0003032353,0.003159458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002784423,"about_ca_system_score_gemma":7.174249e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002157198,"about_ca_topic_score_gemma":0.00006392337,"domain_scores_codex":[0.9981803,0.0002170092,0.0002199482,0.0004878526,0.0004064,0.0004884769],"domain_scores_gemma":[0.999249,0.0001252448,0.00007346978,0.0003143835,4.158376e-7,0.000237488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003818225,0.0002069706,0.9801626,0.00000734977,0.00003788813,0.00003316153,0.0006541431,0.00001618148,0.01076212,0.00002403479,0.004367746,0.003689627],"study_design_scores_gemma":[0.0008840119,0.0002604692,0.9763063,0.000005272657,0.00003399638,0.00001606858,0.001576104,0.0000798601,0.000284131,0.0003312352,0.01990704,0.0003154807],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952829,0.00003077042,0.000005032386,0.000304527,0.00006517114,0.0003444084,0.0001627734,0.0001056878,0.003698724],"genre_scores_gemma":[0.9962804,0.0002911843,0.00117511,0.0009512033,0.00002289905,0.00002075604,0.0000412286,0.0000215315,0.001195715],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01553929,"threshold_uncertainty_score":0.9999551,"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."}}