{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002188458,0.0004109481,0.00071425,0.0006616024,0.0003590141,0.0003067798,0.0004329782,0.0006370421,0.04072767],"category_scores_gemma":[0.001764218,0.0004344354,0.0001905218,0.0008336364,0.0001042035,0.0003393877,0.0003270578,0.0002237469,0.0006561026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001536076,"about_ca_system_score_gemma":0.0001580289,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007121059,"about_ca_topic_score_gemma":0.02299276,"domain_scores_codex":[0.9970475,0.0002613972,0.0005675401,0.0007434513,0.0007045948,0.0006754532],"domain_scores_gemma":[0.9983622,0.000313729,0.0003806912,0.0003287671,0.000120385,0.0004942691],"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":[0.0001217625,0.0001773931,0.0009534965,0.0006453411,0.0003831934,0.0001022081,0.008744313,0.00001457129,0.0019896,0.02791136,0.9491392,0.009817592],"study_design_scores_gemma":[0.0005349948,0.00007855682,0.007606966,0.001544217,0.0001040613,0.000002554974,0.0006968066,0.0001994296,0.000004434811,0.0001561697,0.9884775,0.0005943546],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03708225,0.003256929,0.00002881424,0.004144422,0.002473392,0.004675823,0.2333179,0.0020675,0.712953],"genre_scores_gemma":[0.7613563,0.0005942669,0.001260493,0.001206763,0.005996809,0.000312712,0.03489762,0.001280349,0.1930947],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.724274,"threshold_uncertainty_score":0.9998108,"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."}}