{"id":"W2100996350","doi":"10.1186/1471-2164-15-954","title":"Increasing gene discovery and coverage using RNA-seq of globin RNA reduced porcine blood samples","year":2014,"lang":"en","type":"article","venue":"BMC Genomics","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Agricultural Research Service; Genome Canada; Iowa State University; U.S. Department of Agriculture","keywords":"Biology; Molecular biology; Transcriptome; Gene; Globin; RNase P; Gene expression; DNA microarray; Oligonucleotide; RNA-Seq; RNA; Genetics","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":[0.001002858,0.0004822871,0.0005662865,0.0004954136,0.0004958402,0.0007667826,0.0003685319,0.0004947096,0.001468195],"category_scores_gemma":[0.00130838,0.0002781026,0.0007605818,0.0005371036,0.0005030605,0.0002337551,0.000400245,0.0009855813,0.0006759347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003095997,"about_ca_system_score_gemma":0.0004990991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007007372,"about_ca_topic_score_gemma":0.002150111,"domain_scores_codex":[0.9992201,0.0001172395,0.00004433572,0.0003412922,0.0002132041,0.00006384971],"domain_scores_gemma":[0.9990965,0.0004481659,0.0001026664,0.00007830174,0.0002294999,0.00004487889],"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":[0.0002174408,0.00002600015,0.00362028,0.0002489091,0.00005479799,0.00006053564,0.0001583687,0.0009046508,0.9862163,0.0001405934,0.0003713318,0.007980717],"study_design_scores_gemma":[0.00004703503,0.0005284832,0.05249993,0.00006815993,0.0002406498,0.0002806139,0.0002241538,0.01854763,0.9165487,0.0006656472,0.01029659,0.00005236944],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8445594,0.001778588,0.1342053,0.0003967203,0.000255577,0.0003194002,0.01239155,0.001430373,0.004663019],"genre_scores_gemma":[0.7226712,0.001158108,0.2408207,0.001563124,0.000140541,0.001195795,0.02623257,0.001104007,0.005114008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001468195,"threshold_uncertainty_score":0.005303681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01623630873429571,"score_gpt":0.2514589941063354,"score_spread":0.2352226853720397,"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."}}