{"id":"W2065537773","doi":"10.1186/1471-2199-9-28","title":"Selection of housekeeping genes for gene expression studies in larvae from flatfish using real-time PCR","year":2008,"lang":"en","type":"article","venue":"BMC Molecular Biology","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":221,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Marine Biosciences","funders":"Genome Canada; Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria","keywords":"Reference genes; Biology; Housekeeping gene; Halibut; Gene; Flatfish; Genetics; Gene expression; Ribosomal RNA; Fishery","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":[0.002458645,0.002022453,0.001715327,0.001776667,0.0007714973,0.0009829117,0.001022123,0.0007549296,0.003314117],"category_scores_gemma":[0.001568192,0.0009789156,0.00103721,0.002099507,0.001105566,0.0005891774,0.0005159525,0.001528078,0.002204961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000730146,"about_ca_system_score_gemma":0.001409266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006233857,"about_ca_topic_score_gemma":0.001706376,"domain_scores_codex":[0.9967906,0.0003421879,0.0003968705,0.00121846,0.0009766893,0.000275267],"domain_scores_gemma":[0.9987896,0.000322666,0.0002346409,0.0001328429,0.0004612446,0.0000589704],"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":[0.0001892712,0.0000859182,0.0007519574,0.000305873,0.00001588993,0.00007312424,0.0001108876,0.0001105729,0.9933078,0.0001315172,0.0002902791,0.004626961],"study_design_scores_gemma":[0.00006849455,0.0008781076,0.01033862,0.000139293,0.0001489126,0.0003548735,0.0001564155,0.002431549,0.9705544,0.0002479078,0.01462787,0.0000535623],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3981407,0.01068553,0.5512841,0.0007491376,0.001784504,0.0049145,0.01708239,0.006058067,0.009301096],"genre_scores_gemma":[0.1485077,0.005394381,0.7944502,0.0006214294,0.0002273221,0.01666113,0.02204447,0.001276738,0.01081663],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003314117,"threshold_uncertainty_score":0.01300269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05393086875410059,"score_gpt":0.3440355511652154,"score_spread":0.2901046824111148,"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."}}