{"id":"W6922769934","doi":"10.1371/journal.pbio.3002218.g001","title":"A panel of diverse mitonucleogenotypes in &lt;i&gt;D&lt;/i&gt;. &lt;i&gt;melanogaster&lt;/i&gt;: Population setup and grouping according to mitochondrial and nuclear SNPs.","year":2023,"lang":"en","type":"other","venue":"Figshare","topic":"Public Administration and Political Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Genome; Population; Nuclear gene; Mitochondrial DNA; Single-nucleotide polymorphism; Allele frequency; Population genetics; Genetic variation; Chromosome","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001502523,0.000593541,0.0006241505,0.001442558,0.0007861853,0.0004586575,0.0004437182,0.000389193,0.03814123],"category_scores_gemma":[0.0002297521,0.0003955735,0.0004555473,0.001497576,0.0003524166,0.000281558,0.0006084516,0.001140668,0.009463396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006951642,"about_ca_system_score_gemma":0.0004441343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009172781,"about_ca_topic_score_gemma":0.02834604,"domain_scores_codex":[0.9998025,0.00001990417,0.00001082143,0.0001037652,0.00003454763,0.00002842662],"domain_scores_gemma":[0.9998087,0.0000278607,0.00002806532,0.00004645916,0.00002628051,0.00006273485],"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":[0.0008925924,0.0002085582,0.0121096,0.0006904929,0.0001450392,0.0004008544,0.0003601948,0.001111374,0.8089972,0.002980295,0.08780908,0.08429477],"study_design_scores_gemma":[0.0003242363,0.0003112279,0.324537,0.0002443203,0.0003207104,0.001630799,0.0005806761,0.003911295,0.2021527,0.00181849,0.4640157,0.0001528323],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.3816319,0.001708674,0.09228136,0.001045792,0.0006366184,0.001521861,0.4177215,0.01201449,0.0914378],"genre_scores_gemma":[0.4009941,0.001110296,0.1899242,0.001396298,0.00006244123,0.001455373,0.3371434,0.005034355,0.06287962],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03814123,"threshold_uncertainty_score":0.1275951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04386906450790574,"score_gpt":0.2921845961797905,"score_spread":0.2483155316718848,"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."}}