{"id":"W7038329411","doi":"","title":"The identification of nuclear mitochondrial pseudogenes using motif statistics","year":2008,"lang":"en","type":"dissertation","venue":"The Atrium (University of Guelph)","topic":"Engineering and Test Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Guelph","keywords":"Pseudogene; Mitochondrial DNA; Gene; Cytochrome b; Phylogenetic tree; Haplogroup; Sequence motif; Amplicon; DNA barcoding","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001136091,0.0001419462,0.0002239038,0.00008675369,0.0002485766,0.00001300007,0.0004343425,0.0001399584,0.000009125803],"category_scores_gemma":[0.00002978796,0.0001304433,0.0001094509,0.0001750968,0.00007455004,0.00005712834,0.00001896251,0.0001651445,0.00001513064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004999178,"about_ca_system_score_gemma":0.00003191113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003245107,"about_ca_topic_score_gemma":0.00007977528,"domain_scores_codex":[0.9992475,0.00003407624,0.0002463438,0.0001086808,0.0002290915,0.0001343315],"domain_scores_gemma":[0.9991094,0.0001122181,0.0002421676,0.0003659009,0.0001426624,0.00002762728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007481425,0.00002053346,0.0000285053,0.0007884182,0.0003690312,0.00000834842,0.005701526,0.0747114,0.9100498,0.001095229,0.006112013,0.001040407],"study_design_scores_gemma":[0.002194182,0.0002039931,0.07856999,0.0009701407,0.002270254,0.00008112403,0.03977317,0.8307088,0.01624945,0.000715591,0.02631398,0.001949304],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986008,0.00143193,0.008403842,0.00001890986,0.002840432,0.0003219637,0.0002077354,0.0001452799,0.00062188],"genre_scores_gemma":[0.9965931,0.0007291228,0.0009018775,4.019566e-7,0.0001205544,1.611246e-7,0.0001067252,0.00004084984,0.001507247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8938003,"threshold_uncertainty_score":0.5319325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01247437182481146,"score_gpt":0.1994929748908359,"score_spread":0.1870186030660244,"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."}}