{"id":"W4392356910","doi":"10.21203/rs.3.pex-2568/v1","title":"Extraction of high quality RNA from Gardnerella species","year":2024,"lang":"en","type":"preprint","venue":"Research Square","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"RNA extraction; Biology; Quality (philosophy); Extraction (chemistry); RNA; Computational biology; Microbiology; Chemistry; Genetics; Chromatography; Physics; Gene","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":[0.000483424,0.0008897802,0.0005818058,0.0008987444,0.0006158207,0.000499081,0.0004615409,0.0005899778,0.002071034],"category_scores_gemma":[0.0008128211,0.0003207493,0.0005192338,0.0007244387,0.000257663,0.000382621,0.00050451,0.001026114,0.002093897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002235519,"about_ca_system_score_gemma":0.0003848178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008549182,"about_ca_topic_score_gemma":0.00121184,"domain_scores_codex":[0.9996161,0.00005536558,0.0000348904,0.0001129418,0.00009916902,0.00008148068],"domain_scores_gemma":[0.9997168,0.0001172575,0.00001660764,0.00004626945,0.00007113568,0.00003192155],"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":[0.00007207017,0.00001292034,0.000162689,0.00006628154,0.000004647924,0.00005869324,0.00003854123,0.00006998482,0.9960958,0.00008225979,0.0001093063,0.003226778],"study_design_scores_gemma":[0.00002979037,0.0002990504,0.00787118,0.00003302047,0.00004477566,0.0003494864,0.00009918975,0.001261482,0.9687837,0.0006873612,0.02052514,0.00001575222],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7522482,0.00826112,0.1887721,0.0007764768,0.001255035,0.001279784,0.0227663,0.001416837,0.02322417],"genre_scores_gemma":[0.5891393,0.005508213,0.2663486,0.0006125708,0.0004790927,0.001146985,0.09603999,0.0008004751,0.03992467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002071034,"threshold_uncertainty_score":0.006928265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1094164391796916,"score_gpt":0.4210826124503492,"score_spread":0.3116661732706576,"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."}}