{"id":"W2031573548","doi":"10.1371/journal.pone.0019838","title":"The Sensitivity of Massively Parallel Sequencing for Detecting Candidate Infectious Agents Associated with Human Tissue","year":2011,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Bacteriophages and microbial interactions","field":"Environmental Science","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"Child and Family Research Institute; University of British Columbia; BC Cancer Agency","funders":"BC Cancer Agency","keywords":"Massive parallel sequencing; Transcriptome; Biology; Deep sequencing; Computational biology; Massively parallel; RNA; RNA-Seq; DNA sequencing; Sequence analysis; Illumina dye sequencing; RNA extraction; Genetics; Gene; Genome; Computer science; Gene expression","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":[0.003270222,0.0005340066,0.0005035342,0.00103847,0.0004165169,0.001137257,0.0004157081,0.0008931021,0.0009062414],"category_scores_gemma":[0.006699159,0.0005211257,0.0004409041,0.000466685,0.0005525429,0.0004422954,0.0007876176,0.0009707374,0.0005549439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002937989,"about_ca_system_score_gemma":0.0004054134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006045115,"about_ca_topic_score_gemma":0.001298244,"domain_scores_codex":[0.997753,0.0008443292,0.0001258943,0.0004722249,0.0007152463,0.00008948525],"domain_scores_gemma":[0.9958771,0.002994894,0.0002828113,0.0003945439,0.0003317932,0.0001187468],"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":[0.0001637109,0.00004644611,0.01100195,0.0002864412,0.00007453519,0.0001056129,0.0001181575,0.002261347,0.9517156,0.0008197613,0.0005231603,0.03288322],"study_design_scores_gemma":[0.00002246214,0.0005081862,0.03738757,0.0001083186,0.0001272982,0.001867692,0.0001527488,0.04494164,0.891583,0.006594043,0.01662296,0.0000840215],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3348395,0.008540908,0.6427866,0.001641714,0.000263688,0.0004253183,0.002391287,0.001636568,0.007474577],"genre_scores_gemma":[0.5668559,0.003892842,0.4236835,0.0009478144,0.0001611631,0.0003897598,0.001334381,0.0001300138,0.002604665],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003270222,"threshold_uncertainty_score":0.01729482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05667522239137706,"score_gpt":0.2421474813363371,"score_spread":0.1854722589449601,"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."}}