{"id":"W2089628212","doi":"10.1007/s001470050306","title":"Heparin interference with reverse transcriptase polymerase chain reaction of RNA extracted from lungs after ischemia-reperfusion","year":2000,"lang":"en","type":"article","venue":"Transplant International","topic":"Proteoglycans and glycosaminoglycans research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Toronto General Hospital","funders":"","keywords":"Reverse transcriptase; Ex vivo; Medicine; Reperfusion injury; Lung transplantation; Lung; Heparin; Real-time polymerase chain reaction; RNA; Ischemia; In vivo; Transplantation; Reverse transcription polymerase chain reaction; Polymerase chain reaction; RNA extraction; Molecular biology; Gene expression; Messenger RNA; Gene; Biology; Internal medicine; Biochemistry","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":[0.003639488,0.00362854,0.002392381,0.001362935,0.0006988422,0.001004689,0.001912379,0.001372713,0.005093136],"category_scores_gemma":[0.001836098,0.00210836,0.00146543,0.001053751,0.001981389,0.0004541704,0.0007554372,0.003640718,0.002905938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007664381,"about_ca_system_score_gemma":0.001038039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005478415,"about_ca_topic_score_gemma":0.001071967,"domain_scores_codex":[0.993553,0.001890507,0.0009203065,0.001851757,0.0009971566,0.000787249],"domain_scores_gemma":[0.99818,0.0008607857,0.0001887076,0.0003637034,0.0003110221,0.00009568746],"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":[0.0002523965,0.0001339442,0.00009862944,0.000182493,0.00002119209,0.000101299,0.00007697871,0.0001168315,0.9951893,0.0003543434,0.0003013252,0.003171271],"study_design_scores_gemma":[0.0003411918,0.001282988,0.0008477645,0.0000622861,0.0001163752,0.0002537997,0.00003482712,0.003494965,0.9733124,0.0005667281,0.01964697,0.00003964302],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2248511,0.008678249,0.7282524,0.001028363,0.00503121,0.01114354,0.004616911,0.005700912,0.01069735],"genre_scores_gemma":[0.2315195,0.006962322,0.706409,0.001113203,0.0008260942,0.01972717,0.01030988,0.001261234,0.02187152],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005093136,"threshold_uncertainty_score":0.01924771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006751471249760158,"score_gpt":0.2289925597747107,"score_spread":0.2222410885249505,"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."}}