{"id":"W4281799127","doi":"10.5281/zenodo.6584411","title":"Interrogating 1000 Insect Genomes for NUMTs: A Risk Assessment for Species Scans","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Insect Resistance and Genetics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Insect; Genome; Evolutionary biology; Biology; Computational biology; Ecology; Gene; Genetics","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":[0.008372512,0.0005694583,0.0005946536,0.004460166,0.0008118358,0.001260088,0.0006940627,0.00140342,0.002062805],"category_scores_gemma":[0.03351765,0.0003152475,0.001265529,0.002663209,0.0005842363,0.001459324,0.001780246,0.0009902894,0.0002364068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003161432,"about_ca_system_score_gemma":0.0002378241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001088121,"about_ca_topic_score_gemma":0.001497317,"domain_scores_codex":[0.9937146,0.003192097,0.0004274844,0.001380116,0.001083343,0.0002023484],"domain_scores_gemma":[0.9594615,0.03238346,0.004909112,0.001898266,0.0008049019,0.0005427568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005594746,0.00004863871,0.9192568,0.0002515907,0.001329507,0.0007122571,0.0005394963,0.005071646,0.008775084,0.001575803,0.0007029524,0.06117674],"study_design_scores_gemma":[0.00006495527,0.0008672579,0.858982,0.0002514363,0.001767935,0.008114866,0.001490898,0.09891841,0.007928719,0.01082355,0.01069831,0.00009172654],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.957269,0.002396454,0.03465362,0.0005307884,0.00003144419,0.0001034898,0.002602553,0.0003360806,0.002076565],"genre_scores_gemma":[0.9716856,0.000566888,0.02506393,0.0001243846,0.00003196788,0.00008162568,0.001940869,0.00006024529,0.0004443133],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008372512,"threshold_uncertainty_score":0.04427862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02620989181408593,"score_gpt":0.2591952180310421,"score_spread":0.2329853262169561,"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."}}