{"id":"W2271496920","doi":"10.1007/s12033-012-9539-2","title":"Quantitative PCR Pitfalls: The Case of the Human Placenta","year":2012,"lang":"en","type":"article","venue":"Molecular Biotechnology","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":74,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Bio-Rad (Canada); Institut National de la Recherche Scientifique","funders":"Canadian Institutes of Health Research","keywords":"Placenta; Real-time polymerase chain reaction; Gestational diabetes; Reverse transcriptase; Reference genes; Biology; Gene expression; Computational biology; Reverse transcription polymerase chain reaction; microRNA; Polymerase chain reaction; Gene; Bioinformatics; Andrology; Gestation; Genetics; Medicine; Pregnancy; Fetus","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":[0.02484756,0.000727315,0.0009281182,0.002499751,0.000976696,0.002629771,0.002076568,0.004804795,0.001402112],"category_scores_gemma":[0.03796711,0.0008855522,0.0005933583,0.001477994,0.006433129,0.001982688,0.001214124,0.005391705,0.001078376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001426799,"about_ca_system_score_gemma":0.001319449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001807478,"about_ca_topic_score_gemma":0.002503079,"domain_scores_codex":[0.9847586,0.008150126,0.0008327948,0.001646043,0.004124152,0.0004883472],"domain_scores_gemma":[0.958201,0.03379723,0.002205444,0.002526121,0.002708579,0.0005616354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001332371,0.0002481003,0.06629545,0.003704146,0.0003373775,0.1230488,0.0124043,0.003812724,0.158357,0.1124894,0.03807751,0.4798928],"study_design_scores_gemma":[0.00008685671,0.0009875057,0.01748549,0.002246223,0.0005963136,0.2484492,0.008929385,0.01401926,0.179489,0.1657831,0.3616914,0.0002362323],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1138275,0.1482105,0.5015599,0.1983658,0.009202111,0.0003715679,0.000692239,0.001494683,0.0262756],"genre_scores_gemma":[0.6484625,0.04357856,0.2624844,0.03300165,0.004319753,0.0003872089,0.0002025874,0.0005959169,0.006967378],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02484756,"threshold_uncertainty_score":0.131408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01345024436876793,"score_gpt":0.2953531469960556,"score_spread":0.2819029026272877,"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."}}