{"id":"W4406916415","doi":"10.17504/protocols.io.3byl49dqrgo5/v1","title":"RNA Extraction and RNA-Sequencing Method for Transcriptomic Analysis of Mycobacterium tuberculosis v1","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Mycobacterium research and diagnosis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Research Manitoba","keywords":"RNA extraction; Mycobacterium tuberculosis; RNA; Transcriptome; Extraction (chemistry); Tuberculosis; Computational biology; Biology; Microbiology; Chemistry; Genetics; Gene; Medicine; Chromatography; Gene expression","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001252254,0.00135552,0.001360495,0.001166999,0.001331828,0.0006909197,0.0009064543,0.0009524925,0.004989376],"category_scores_gemma":[0.001188799,0.0007217251,0.001001932,0.001199728,0.0005834859,0.0003852502,0.0007466488,0.002334792,0.007171262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003251146,"about_ca_system_score_gemma":0.0008887423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004154997,"about_ca_topic_score_gemma":0.001119166,"domain_scores_codex":[0.9980792,0.0003175669,0.0001866764,0.0006629439,0.0005754632,0.0001781088],"domain_scores_gemma":[0.9995159,0.0001468282,0.00004392309,0.0001409484,0.0001124543,0.00003985604],"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":[0.00008156942,0.00003693238,0.0001830535,0.0002140547,0.00001553019,0.00008377571,0.0000536586,0.0002233084,0.9888784,0.0003283163,0.001115437,0.008786001],"study_design_scores_gemma":[0.00004096041,0.0002988703,0.003160226,0.0000599522,0.00006939291,0.0004521488,0.0000394942,0.004426949,0.9269547,0.001084727,0.06334873,0.00006380076],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06499389,0.003314298,0.8873046,0.0005491069,0.001180682,0.003082361,0.02561136,0.006753405,0.007210268],"genre_scores_gemma":[0.06824835,0.002827068,0.8665312,0.0008648712,0.0003221633,0.007148619,0.04152626,0.002019091,0.01051234],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004989376,"threshold_uncertainty_score":0.01669115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04222024388107427,"score_gpt":0.3697402827650041,"score_spread":0.3275200388839299,"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."}}