{"id":"W2791972107","doi":"10.1016/j.bdq.2018.02.001","title":"A PCR-based quantitative assay for the evaluation of mRNA integrity in rat samples","year":2018,"lang":"en","type":"article","venue":"Biomolecular Detection and Quantification","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"Health Canada; Government of Canada","keywords":"Housekeeping gene; RNA; RNA extraction; Biology; Amplicon; Gene expression; Real-time polymerase chain reaction; Computational biology; Messenger RNA; Molecular biology; Gene; Polymerase chain reaction; 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":[0.008852855,0.003037529,0.002658126,0.004890578,0.001572178,0.002285899,0.002134106,0.002153049,0.01186857],"category_scores_gemma":[0.006760565,0.001866811,0.002616251,0.004623137,0.002719771,0.001616333,0.001569912,0.00511078,0.007274649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00134648,"about_ca_system_score_gemma":0.002710155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008070701,"about_ca_topic_score_gemma":0.002859135,"domain_scores_codex":[0.9834183,0.00354933,0.001631532,0.00512795,0.005714251,0.0005586393],"domain_scores_gemma":[0.993701,0.002082646,0.001079929,0.0009484251,0.002034298,0.0001536282],"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":[0.00031908,0.0003857288,0.001899142,0.001247703,0.000131634,0.0001781525,0.0004250412,0.0007094706,0.9635059,0.00195706,0.002028838,0.02721222],"study_design_scores_gemma":[0.0001376031,0.001980706,0.007660043,0.0005777543,0.0005170053,0.00117611,0.0002230483,0.008376933,0.8924848,0.00232154,0.08427863,0.0002658016],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05326277,0.007947201,0.9079266,0.0003846583,0.001202004,0.004306705,0.008152754,0.005124516,0.01169284],"genre_scores_gemma":[0.05365748,0.008273349,0.8865108,0.0008218627,0.0004805709,0.01735063,0.01310505,0.001648839,0.01815135],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01186857,"threshold_uncertainty_score":0.04681891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08969056468424379,"score_gpt":0.376815782227087,"score_spread":0.2871252175428432,"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."}}