{"id":"W7090783415","doi":"10.5061/dryad.w0vt4b959","title":"Haplodiploidy accelerates mitogenome evolution in insects","year":2025,"lang":"en","type":"dataset","venue":"DRYAD","topic":"Chromosomal and Genetic Variations","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Indel; Mitochondrial DNA; Haplodiploidy; Gene; Genome; Phylogenetic tree; Nuclear gene; Mutation; Phylogenetics","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":[0.0006701822,0.0004617484,0.0005622652,0.001780631,0.0006138324,0.0008950283,0.0004587557,0.0003282148,0.004463796],"category_scores_gemma":[0.001272574,0.0002215707,0.0004750123,0.002117886,0.00023396,0.0003760332,0.0007311835,0.0005676329,0.001757587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004628023,"about_ca_system_score_gemma":0.0002889842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004777466,"about_ca_topic_score_gemma":0.01374111,"domain_scores_codex":[0.9996443,0.00007276332,0.00002689423,0.000173026,0.0000452347,0.00003769105],"domain_scores_gemma":[0.9995987,0.0001403104,0.0001193334,0.00006022819,0.0000386501,0.00004295867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002707244,0.0002127116,0.5444875,0.004428771,0.00141728,0.0008167151,0.001017921,0.007375821,0.03314075,0.003442778,0.3390537,0.06189883],"study_design_scores_gemma":[0.0004046468,0.00008827301,0.7185052,0.0001838766,0.0003411756,0.0006700606,0.0003616298,0.004026245,0.003281037,0.001381123,0.2706968,0.00005994616],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.2388772,0.001897381,0.0008818634,0.0003266888,0.0000344621,0.00001819747,0.7538178,0.0007409551,0.003405372],"genre_scores_gemma":[0.1110872,0.0004862106,0.002656035,0.0001135005,0.00001425855,0.00005894971,0.8846144,0.0001135475,0.0008558409],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.004777466,"threshold_uncertainty_score":0.01493287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01508252895173668,"score_gpt":0.2265936513068384,"score_spread":0.2115111223551017,"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."}}