{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085864,0.0003632393,0.0005152922,0.002992529,0.0003557612,0.000694279,0.000533558,0.00041766,0.0009195546],"category_scores_gemma":[0.004140101,0.0002120394,0.0006127856,0.001895292,0.0003391377,0.0009507187,0.0005543098,0.000448811,0.0005171553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003645336,"about_ca_system_score_gemma":0.0004972073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001374518,"about_ca_topic_score_gemma":0.001829885,"domain_scores_codex":[0.9992905,0.0002074821,0.00005603073,0.0001580913,0.000230959,0.00005697532],"domain_scores_gemma":[0.9975757,0.001277659,0.0003880286,0.0001941797,0.0004414394,0.0001230587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006513101,0.0002234748,0.07050711,0.0002860552,0.0001783425,0.0004132821,0.000372353,0.05168178,0.1192358,0.0137257,0.001974662,0.7407501],"study_design_scores_gemma":[0.00002606651,0.0001543667,0.02213285,0.00002758376,0.00002930619,0.0005864453,0.000140749,0.9327819,0.02377623,0.0179517,0.002342951,0.00004982494],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2047277,0.0003620693,0.791609,0.00009655812,0.00001902915,0.00008247751,0.0005480784,0.001506473,0.001048598],"genre_scores_gemma":[0.553189,0.0001946511,0.4441701,0.00003397256,0.00002249258,0.00009029343,0.00132289,0.0001437331,0.0008327606],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002992529,"threshold_uncertainty_score":0.00454092,"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."}}