{"id":"W2944906328","doi":"10.1093/toxsci/kfz113","title":"Enhanced Quality Metrics for Assessing RNA Derived From Archival Formalin-Fixed Paraffin-Embedded Tissue Samples","year":2019,"lang":"en","type":"article","venue":"Toxicological Sciences","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"Health and Environmental Sciences Institute; U.S. Environmental Protection Agency","keywords":"RNA; Biology; Computational biology; RNA extraction; Gene; Gene expression; RNA editing; Molecular biology; Genetics","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":[0.00966362,0.001326289,0.0007507374,0.004002291,0.000647751,0.001644485,0.001148829,0.001162012,0.001909216],"category_scores_gemma":[0.01130624,0.0006061335,0.0006636822,0.002564929,0.0008375747,0.001475753,0.0008711648,0.001379248,0.0008674175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009461292,"about_ca_system_score_gemma":0.0007016573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007171845,"about_ca_topic_score_gemma":0.002354457,"domain_scores_codex":[0.9912451,0.002829637,0.001203879,0.001390661,0.003056324,0.0002743969],"domain_scores_gemma":[0.9888183,0.003419701,0.002842505,0.0009825337,0.003737821,0.0001990253],"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":[0.0001708912,0.00006939921,0.005125003,0.0004496964,0.00005827559,0.00007716,0.0001559588,0.0009572429,0.9718554,0.000733506,0.000242771,0.02010469],"study_design_scores_gemma":[0.00002664471,0.0008961731,0.03860803,0.0001629155,0.0001764459,0.0008631104,0.0001913285,0.01191325,0.9363068,0.001183417,0.009559266,0.0001125787],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2442426,0.007625898,0.7384962,0.0002589826,0.0002716108,0.001328394,0.003103924,0.001506497,0.003165808],"genre_scores_gemma":[0.1319466,0.002064721,0.857657,0.0002307145,0.00007849703,0.001436213,0.00417808,0.0003696037,0.002038641],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00966362,"threshold_uncertainty_score":0.05110675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06804979612257775,"score_gpt":0.3904593204797486,"score_spread":0.3224095243571709,"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."}}