{"id":"W2895006627","doi":"10.1139/gen-2018-0054","title":"DNA barcoding of forensically important flies in the Western Cape, South Africa","year":2018,"lang":"en","type":"article","venue":"Genome","topic":"Forensic Entomology and Diptera Studies","field":"Agricultural and Biological Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biology; DNA barcoding; Lucilia; Intraspecific competition; Zoology; Calliphoridae; Chrysomya megacephala; Genetic divergence; Evolutionary biology; Entomology; DNA sequencing; Forensic entomology; Identification (biology); Interspecific competition; Ecology; DNA; Genetics; Larva; Genetic diversity; Population","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0002779711,0.0003049946,0.0001164967,0.002182667,0.000692719,0.00046749,0.0003000986,0.0002675578,0.0008082006],"category_scores_gemma":[0.00119214,0.0001304678,0.00009555942,0.001978576,0.0005698481,0.0003195367,0.0003746313,0.0001762618,0.0001007338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006990493,"about_ca_system_score_gemma":0.0008715825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04395953,"about_ca_topic_score_gemma":0.08908186,"domain_scores_codex":[0.9997401,0.00003835106,0.00002444768,0.00006222071,0.00008746955,0.00004750451],"domain_scores_gemma":[0.9995335,0.00007005805,0.0002545526,0.00002047082,0.000097207,0.00002421257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002007189,0.00008056507,0.4031677,0.0009146896,0.00007052052,0.008681038,0.01745584,0.0005841042,0.3820534,0.001427998,0.001238813,0.1841246],"study_design_scores_gemma":[0.00001294327,0.0001125996,0.9381241,0.0003854024,0.00006392106,0.005663425,0.0128643,0.0009987787,0.02322063,0.0004258346,0.01809909,0.00002904321],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946044,0.001080536,0.001206013,0.0001843028,0.00001065903,0.0001282504,0.0007048157,0.000008360049,0.002072705],"genre_scores_gemma":[0.9915876,0.001038908,0.005723755,0.00006833192,0.000004230209,0.00005744913,0.0005982185,0.000004126806,0.0009174034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04395953,"threshold_uncertainty_score":0.08740729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02855496728437684,"score_gpt":0.2254172703057022,"score_spread":0.1968623030213254,"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."}}