{"id":"W1777470419","doi":"10.1038/ncomms8344","title":"Lucilia cuprina genome unlocks parasitic fly biology to underpin future interventions","year":2015,"lang":"en","type":"article","venue":"Nature Communications","topic":"Forensic Entomology and Diptera Studies","field":"Agricultural and Biological Sciences","cited_by":112,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Australian Research Council; Melbourne Water; National Health and Medical Research Council; Natural Sciences and Engineering Research Council of Canada; State Government of Victoria; Australian Wool Innovation; National Human Genome Research Institute; University of Melbourne; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Lucilia cuprina; Biology; Genome; Myiasis; Host (biology); Whole genome sequencing; Genetics; Lucilia; Genome project; Calliphoridae; Gene; Zoology; Evolutionary biology; Computational biology; Larva; 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":[0.001306441,0.0006387749,0.0006033369,0.001373935,0.0005171975,0.001110233,0.0006556801,0.0009587014,0.003388464],"category_scores_gemma":[0.001765304,0.0003064098,0.0004092589,0.000952517,0.0003608706,0.0009338773,0.0008505617,0.001303863,0.0012169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00103923,"about_ca_system_score_gemma":0.002365071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006645496,"about_ca_topic_score_gemma":0.0111229,"domain_scores_codex":[0.9997167,0.00006660869,0.00001377755,0.00007188605,0.00008208141,0.00004887689],"domain_scores_gemma":[0.9990538,0.0002499835,0.0001706992,0.00009843388,0.0002441679,0.0001830326],"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":[0.001351436,0.0002793441,0.0313309,0.003817651,0.0003028494,0.0008486756,0.001446731,0.004596327,0.4826028,0.01580212,0.05312507,0.4044961],"study_design_scores_gemma":[0.0001520305,0.0006311732,0.2278007,0.001950613,0.0007073572,0.0007003434,0.001438141,0.007843651,0.05339609,0.01605116,0.6891554,0.0001733591],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5585538,0.09593669,0.09672164,0.05719446,0.001886775,0.0007017622,0.1116958,0.01087594,0.06643316],"genre_scores_gemma":[0.6438683,0.04457338,0.1973128,0.005605946,0.0005639637,0.0005425366,0.09882921,0.0009089479,0.007794975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006645496,"threshold_uncertainty_score":0.01321363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07139047801041955,"score_gpt":0.3436248277336925,"score_spread":0.272234349723273,"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."}}