{"id":"W2620411296","doi":"10.1371/journal.pone.0178558","title":"Highly dynamic temporal changes of TSPY gene copy number in aging bulls","year":2017,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Animal Genetics and Reproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Ontario Veterinary College, University of Guelph; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Copy-number variation; Biology; Telomere; Gene; Genetics; Genome","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002966778,0.00009926342,0.0002082015,0.0006572455,0.0001559794,0.0002401652,0.0001192406,0.0001931651,0.0006544574],"category_scores_gemma":[0.0004620928,0.00009892391,0.0001058483,0.0003698482,0.0002217124,0.0001796732,0.0001340381,0.0001748362,0.0001332255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001235078,"about_ca_system_score_gemma":0.00005987291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002191964,"about_ca_topic_score_gemma":0.001993966,"domain_scores_codex":[0.9998635,0.00002378127,0.000009205196,0.00004983753,0.00003218375,0.00002147702],"domain_scores_gemma":[0.9996573,0.00007033801,0.0001283648,0.00002848167,0.00006860132,0.00004690806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006708103,0.00004543093,0.5867667,0.00005155368,0.00009897613,0.0007183256,0.001210802,0.0001940076,0.3963,0.00007407013,0.000133129,0.0137362],"study_design_scores_gemma":[0.000001386932,0.0001108321,0.9955853,0.000001475239,0.00001960328,0.0003208888,0.0001440639,0.00009478844,0.003500324,0.00001828393,0.0001993573,0.000003605345],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991078,0.000279618,0.0003341838,0.000006190996,0.000001449179,0.000002230564,0.0001291706,0.000005157437,0.0001342866],"genre_scores_gemma":[0.9992096,0.0001074713,0.0001680609,0.00001071118,0.000004944962,0.000004341734,0.0001876509,0.000003111236,0.0003040193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002191964,"threshold_uncertainty_score":0.004358411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02604505057345564,"score_gpt":0.2627974063143944,"score_spread":0.2367523557409388,"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."}}