{"id":"W2027351830","doi":"10.1186/1471-2199-8-93","title":"Detection limits of several commercial reverse transcriptase enzymes: impact on the low- and high-abundance transcript levels assessed by quantitative RT-PCR","year":2007,"lang":"en","type":"article","venue":"BMC Molecular Biology","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Biology; Reverse transcriptase; Real-time polymerase chain reaction; Abundance (ecology); Computational biology; Enzyme; Reverse transcription polymerase chain reaction; Messenger RNA; Genetics; Molecular biology; Virology; Polymerase chain reaction; Gene; Biochemistry; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005939327,0.0003348624,0.0003291212,0.00007984992,0.0001530513,0.00001381763,0.0003095533,0.0004503103,0.00002471771],"category_scores_gemma":[0.0001205538,0.0002506753,0.0002348183,0.0001909716,0.0004610571,0.000005566433,0.00004033916,0.000237883,0.000002795059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002430161,"about_ca_system_score_gemma":0.00007333596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001878851,"about_ca_topic_score_gemma":0.000149929,"domain_scores_codex":[0.998126,0.0003652527,0.00041713,0.0005726057,0.0001056578,0.0004133306],"domain_scores_gemma":[0.9989496,0.0001002487,0.0001956383,0.0005221503,0.0001221003,0.0001102888],"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":[0.0004730904,0.0001475945,0.0003494061,0.00002003488,0.0001056976,0.000003118735,0.0000402347,0.00001493245,0.9896285,0.007655598,0.0005844089,0.0009774158],"study_design_scores_gemma":[0.0007521359,0.00150967,0.004776222,0.00002189091,0.00004894332,0.0000215299,0.00006147045,0.00005757722,0.9890508,0.0005860332,0.002821092,0.0002926568],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5920563,0.0005652141,0.4063521,0.0001811126,0.0000588585,0.0003909102,0.0002947294,0.00001662991,0.00008422335],"genre_scores_gemma":[0.9942899,0.0001056202,0.003924865,0.001142631,0.00004463821,0.00005222357,0.0003646499,0.00003556755,0.00003984076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4024272,"threshold_uncertainty_score":0.9999946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02404201293132429,"score_gpt":0.3275078790810523,"score_spread":0.303465866149728,"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."}}