{"id":"W4381492697","doi":"10.5376/mpr.2023.13.0001","title":"Comparison and Improvement of Total RNA Extraction Methods from Different Tissues of &lt;i&gt;Polygonatum cyrtonema&lt;/i&gt; Hua","year":2023,"lang":"en","type":"article","venue":"Medicinal Plant Research","topic":"Biocrusts and Microbial Ecology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Basic Public Welfare Research Program of Zhejiang Province; Zhejiang Chinese Medical University","keywords":"Extraction (chemistry); RNA extraction; Biology; RNA; Traditional medicine; Chemistry; Chromatography; Medicine; Biochemistry; Gene","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0009298043,0.0009886897,0.0006340693,0.001041677,0.0004408909,0.0004786345,0.000594404,0.0003063272,0.001308968],"category_scores_gemma":[0.0009187309,0.0003127175,0.0006872886,0.0006908891,0.0003478571,0.000767008,0.0002971168,0.0009257288,0.0005632049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002981614,"about_ca_system_score_gemma":0.0003336759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006470084,"about_ca_topic_score_gemma":0.00148651,"domain_scores_codex":[0.9992045,0.0001338055,0.0001024757,0.0002697666,0.0002341537,0.00005536078],"domain_scores_gemma":[0.9994677,0.000181875,0.00009931585,0.00006626242,0.0001515693,0.00003331763],"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":[0.00004401348,0.00001673955,0.0001843392,0.0001367998,0.000008602489,0.00004222173,0.00003090658,0.00005336054,0.993916,0.00004930258,0.00004686833,0.005470874],"study_design_scores_gemma":[0.00002887037,0.0006870652,0.02040504,0.00004053384,0.0001816438,0.0006510263,0.0001025508,0.001777546,0.9593075,0.0001650979,0.01660372,0.00004942727],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6688843,0.01191282,0.3036439,0.0004986831,0.0004571103,0.001219541,0.003904035,0.001828048,0.007651504],"genre_scores_gemma":[0.4787561,0.007948427,0.483355,0.0004587131,0.0001768933,0.002641453,0.01591804,0.0008316069,0.0099138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001308968,"threshold_uncertainty_score":0.004917324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08055870120199043,"score_gpt":0.3936752841321019,"score_spread":0.3131165829301115,"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."}}