{"id":"W2051020903","doi":"10.1093/database/bat087","title":"DBM-DB: the diamondback moth genome database","year":2014,"lang":"en","type":"article","venue":"Database","topic":"Insect Resistance and Genetics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Agriculture; University of British Columbia","funders":"National Natural Science Foundation of China; Yuhan","keywords":"Diamondback moth; dBm; Genome; Annotation; Gene Annotation; Plutella; Genomics; Biology; Computer science; Database; Computational biology; Gene; Bioinformatics; Genetics; Larva; Ecology","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":[0.0009720188,0.001643514,0.002004213,0.004112936,0.0009557884,0.002117048,0.00332475,0.001529298,0.0228708],"category_scores_gemma":[0.001996505,0.0008188608,0.0008857906,0.007282122,0.0002440368,0.00222443,0.002123668,0.001830113,0.02436863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007789896,"about_ca_system_score_gemma":0.002379833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007492922,"about_ca_topic_score_gemma":0.006858713,"domain_scores_codex":[0.9994918,0.00005598999,0.00009325815,0.0001401344,0.0001437216,0.00007501082],"domain_scores_gemma":[0.9993604,0.0000763923,0.0001029354,0.0001034858,0.0001664348,0.0001903446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001200077,0.0002037124,0.002954638,0.005529315,0.0001999209,0.0004129232,0.0003067187,0.0009047548,0.02800396,0.00429836,0.9030757,0.05290996],"study_design_scores_gemma":[0.0003538142,0.00007844954,0.008912103,0.0003605078,0.0001374492,0.000425638,0.0001570668,0.001950859,0.006597756,0.003441462,0.9774758,0.0001092029],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.002745629,0.001447558,0.005492151,0.0002621233,0.00009643134,0.0001826457,0.975116,0.009399641,0.005257893],"genre_scores_gemma":[0.001772865,0.0004769547,0.005903274,0.00009831338,0.00001084859,0.0001084809,0.9904546,0.0004533582,0.0007212602],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.0228708,"threshold_uncertainty_score":0.07651049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007791138652176461,"score_gpt":0.229161108559944,"score_spread":0.2213699699077676,"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."}}