{"id":"W2035618913","doi":"10.1080/00071668.2014.888397","title":"Research note: methodology for high-quality RNA extraction from poultry whole blood for further gene expression analysis","year":2014,"lang":"en","type":"article","venue":"British Poultry Science","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"University of Alberta","keywords":"Trizol; RNA extraction; Whole blood; RNA; Extraction (chemistry); Biology; Chromatography; Chemistry; Gene; Immunology; Biochemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.003480117,0.0001353031,0.0002445411,0.0001289055,0.0005311284,0.00009735781,0.0006211711,0.0003384434,0.00001934729],"category_scores_gemma":[0.001191866,0.0001489398,0.0001746235,0.0005397276,0.0004788655,0.00001492232,0.0001654181,0.0001541207,0.000003562177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001981603,"about_ca_system_score_gemma":0.00010933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006667433,"about_ca_topic_score_gemma":0.00009424122,"domain_scores_codex":[0.9975678,0.000350186,0.0003203181,0.001022734,0.0002499654,0.0004889551],"domain_scores_gemma":[0.9981866,0.0002935268,0.0001511113,0.0006936489,0.0005404915,0.0001346001],"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":[0.00004183704,0.00008976751,0.00174166,0.000006521505,0.00003855519,3.934475e-7,0.00001098026,0.0000249089,0.9806247,0.0003430848,0.0008815467,0.01619603],"study_design_scores_gemma":[0.0005000141,0.000205059,0.02067182,0.00000985205,0.00009317588,0.000008492684,0.0001120105,0.00009360378,0.9642047,0.004409094,0.009472671,0.0002194589],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4840166,0.0001154148,0.5147702,0.0002902532,0.00006662035,0.0003575357,0.0002250431,0.00002185181,0.0001365094],"genre_scores_gemma":[0.7333101,0.00004934593,0.2647731,0.0002226888,0.0003148791,0.000402543,0.0006007732,0.00001507792,0.0003115277],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.249997,"threshold_uncertainty_score":0.6073589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06497340276907557,"score_gpt":0.4344775328354283,"score_spread":0.3695041300663527,"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."}}