{"id":"W6969202782","doi":"10.5683/sp3/uqiixn","title":"Mitochondrial genome sequencing, mapping, and assembly benchmarking for Culicoides spp. (Diptera: Ceratopogonidae).","year":2021,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Food Inspection Agency; University of Guelph","funders":"","keywords":"Mitochondrial DNA; Culicoides; Genome; Gene; Ribosomal RNA; Sequence assembly; Phylogenetics; Reference genome","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":[0.001748109,0.0009683961,0.0004226442,0.001594579,0.0009596128,0.000737709,0.0005827631,0.0005833255,0.001899216],"category_scores_gemma":[0.003421881,0.0003691903,0.000817359,0.001017356,0.0002286823,0.0006470053,0.0007249982,0.0005244101,0.00128599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006144063,"about_ca_system_score_gemma":0.000587499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003737194,"about_ca_topic_score_gemma":0.008898561,"domain_scores_codex":[0.9991813,0.0001273405,0.00007872111,0.0003741379,0.0001602658,0.00007813733],"domain_scores_gemma":[0.9986264,0.0002656013,0.0002693225,0.0001991,0.0004913784,0.000148317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002821289,0.0004220074,0.1094846,0.004534832,0.001124276,0.001291902,0.002807991,0.01068152,0.6233165,0.00168219,0.02567196,0.2161609],"study_design_scores_gemma":[0.0003026776,0.002027152,0.4327905,0.0007314073,0.001692872,0.003247989,0.001645401,0.115097,0.3101854,0.002558534,0.129453,0.0002679323],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.8748834,0.005581973,0.04861445,0.0004235471,0.0002649045,0.0004141546,0.05699478,0.00808375,0.004739024],"genre_scores_gemma":[0.6300447,0.00160548,0.1816798,0.0001656249,0.00007379953,0.0004084825,0.1821672,0.00165607,0.002198783],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.003737194,"threshold_uncertainty_score":0.009245038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03045221138198097,"score_gpt":0.2706209453904038,"score_spread":0.2401687340084228,"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."}}