{"id":"W4381800616","doi":"10.1038/s41598-023-36810-0","title":"Automated, non-invasive Varroa mite detection by vibrational measurements of gait combined with machine learning","year":2023,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Insect and Pesticide Research","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eva Crane Trust; Nottingham Trent University; Trent University; Queen Mary University of London","keywords":"Varroa; Varroa destructor; Brood; Mite; Biology; Deformed wing virus; Artificial intelligence; Computer science; Zoology; Ecology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003079817,0.0004729845,0.0004097414,0.001205901,0.0001387059,0.0004626011,0.0004569414,0.0005523212,0.001207598],"category_scores_gemma":[0.0006659707,0.0001944296,0.0003106167,0.0005368661,0.0002321357,0.0004692918,0.0003979535,0.0003347056,0.0008345779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001236662,"about_ca_system_score_gemma":0.0001517267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004835173,"about_ca_topic_score_gemma":0.001490365,"domain_scores_codex":[0.999684,0.00005176063,0.00001664153,0.000120313,0.00009418066,0.00003309857],"domain_scores_gemma":[0.9995822,0.0001308949,0.000118981,0.00005981872,0.00007366654,0.00003432235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002133687,0.0003722275,0.0298564,0.0003224621,0.00008649667,0.0001191639,0.0001065317,0.004988401,0.6326888,0.0002292792,0.0009013148,0.3301155],"study_design_scores_gemma":[0.00004471824,0.001204904,0.3827321,0.0001015616,0.0001145505,0.001431193,0.0002710781,0.4202302,0.1884622,0.00181148,0.003483609,0.0001124829],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6403891,0.0009903099,0.35285,0.0001625991,0.00007561416,0.0001538982,0.001070978,0.001554548,0.002752973],"genre_scores_gemma":[0.8468751,0.0005075102,0.1493923,0.00008262274,0.0000578353,0.0001249666,0.001132088,0.0000613822,0.00176617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001207598,"threshold_uncertainty_score":0.004039764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02939110184348004,"score_gpt":0.2466561363419668,"score_spread":0.2172650344984867,"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."}}