{"id":"W3164214151","doi":"10.1111/1755-0998.13435","title":"DROP: Molecular voucher database for identification of <i>Drosophila</i> parasitoids","year":2021,"lang":"en","type":"article","venue":"Molecular Ecology Resources","topic":"Insect symbiosis and bacterial influences","field":"Agricultural and Biological Sciences","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Guelph","funders":"National Institute on Minority Health and Health Disparities; Natural Environment Research Council; Grantová Agentura České Republiky; Sight Research UK","keywords":"Biology; Identification (biology); Voucher; Drosophila (subgenus); GenBank; Parasitoid; Computational biology; Evolutionary biology; Ecology; Hymenoptera; Genetics; Computer science; Gene; World Wide Web","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":[0.00329503,0.001209758,0.001670844,0.008481168,0.001293937,0.002189033,0.002519455,0.001801001,0.01234083],"category_scores_gemma":[0.008051801,0.0008999286,0.001075881,0.006724649,0.0004882812,0.002551372,0.002814594,0.002754202,0.02041528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001043508,"about_ca_system_score_gemma":0.002985253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002793062,"about_ca_topic_score_gemma":0.003652442,"domain_scores_codex":[0.9978091,0.0002717038,0.0005695266,0.0005877158,0.0005388001,0.0002231183],"domain_scores_gemma":[0.9959592,0.0005078982,0.001137583,0.001046627,0.0009135796,0.0004350776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002389574,0.0003381821,0.02202087,0.0103297,0.0003706697,0.002119589,0.001920562,0.00135676,0.1604361,0.01200911,0.6352637,0.1514452],"study_design_scores_gemma":[0.0002099702,0.0001664687,0.02532481,0.001029117,0.000183868,0.001012054,0.0003830227,0.001952086,0.02206285,0.003271356,0.9442204,0.0001839597],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.02718626,0.002423652,0.05473386,0.0006170056,0.0007089071,0.0006683448,0.8616974,0.04226783,0.009696684],"genre_scores_gemma":[0.01173206,0.0006913752,0.05316575,0.0003204238,0.00006929974,0.0005631652,0.9286891,0.002880804,0.001888109],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01234083,"threshold_uncertainty_score":0.04128426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01054738817787457,"score_gpt":0.2314148468149571,"score_spread":0.2208674586370826,"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."}}