{"id":"W3143566235","doi":"","title":"BSE-specific motifs can be identified using high-throughput DNA sequencing of Circulating Nucleic Acids in blood, which was sampled from live cattle","year":2012,"lang":"en","type":"article","venue":"Prion","topic":"Microbial infections and disease research","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Nucleic acid; DNA sequencing; Biology; DNA; Computational biology; 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":[0.0003026316,0.0004124478,0.0003193741,0.0009444278,0.0002932039,0.0006424274,0.000207808,0.0005677316,0.0007354729],"category_scores_gemma":[0.0009882494,0.0002225706,0.0003020666,0.000513933,0.0002879122,0.0002491057,0.0002315206,0.0004160863,0.000599385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001629898,"about_ca_system_score_gemma":0.0001528472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001644052,"about_ca_topic_score_gemma":0.003734047,"domain_scores_codex":[0.99976,0.00003425738,0.00001484645,0.00008340951,0.00006335158,0.0000440148],"domain_scores_gemma":[0.9994203,0.0002072415,0.0001469449,0.00003946935,0.0001116523,0.00007448097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001864073,0.00002254068,0.0104217,0.00003954556,0.00002113784,0.00007479414,0.00009921342,0.0001111056,0.9862525,0.00004479625,0.00004535409,0.002680924],"study_design_scores_gemma":[0.00002977336,0.0005026534,0.3122151,0.00004021319,0.0001582018,0.001548498,0.000532549,0.00804112,0.6718945,0.0004159651,0.004591845,0.00002951485],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865298,0.0004989974,0.01017182,0.00006162656,0.00001581345,0.00003337996,0.00168934,0.000061209,0.0009381501],"genre_scores_gemma":[0.9794139,0.0003139113,0.01608408,0.0001429762,0.00001838853,0.00004210116,0.002503463,0.00002937188,0.00145187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001644052,"threshold_uncertainty_score":0.003269017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0596758066953886,"score_gpt":0.2884522429465388,"score_spread":0.2287764362511502,"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."}}