{"id":"W2807588024","doi":"10.1007/978-1-4939-7804-5_7","title":"Isolation of High Quality RNA for Metatranscriptomic Analysis of Lignocellulose Digestion in the Rumen","year":2018,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Rumen; RNA; Transcriptome; Metagenomics; Biology; Computational biology; Digestion (alchemy); Isolation (microbiology); Biotechnology; Food science; Gene; Bioinformatics; Chemistry; Biochemistry; Gene expression; Chromatography; Fermentation","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":[0.0007025968,0.0006759054,0.0007337686,0.0005796183,0.0005326531,0.0006909792,0.0004461503,0.0004407252,0.0009656206],"category_scores_gemma":[0.0006978585,0.0004198142,0.000638613,0.0005682508,0.0003448511,0.0003556101,0.0003112624,0.001340828,0.001014971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002775288,"about_ca_system_score_gemma":0.0007745805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00119862,"about_ca_topic_score_gemma":0.002554046,"domain_scores_codex":[0.9996067,0.00006822733,0.00003052665,0.0001019058,0.0001102937,0.00008240138],"domain_scores_gemma":[0.9996351,0.0001223186,0.00003912656,0.0000605502,0.00009661869,0.00004625473],"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":[0.00004665579,0.00001261331,0.000125026,0.0000306413,0.000003856201,0.00001472454,0.00001118659,0.00005162321,0.9981658,0.0000362795,0.0000254842,0.001476181],"study_design_scores_gemma":[0.00002856756,0.000290937,0.008372644,0.00002208629,0.00005528356,0.0001256173,0.00006885165,0.001691921,0.9855795,0.0001780101,0.003573859,0.00001262868],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8348192,0.004706144,0.1402947,0.000577091,0.0003750775,0.001031624,0.01285655,0.00073037,0.004609284],"genre_scores_gemma":[0.7033432,0.004807195,0.2413541,0.0006390855,0.0003780261,0.00146188,0.03554029,0.0006355906,0.0118405],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.00119862,"threshold_uncertainty_score":0.003715694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03335895806151955,"score_gpt":0.3940701306384796,"score_spread":0.36071117257696,"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."}}