{"id":"W2993589413","doi":"10.17504/protocols.io.jhtcj6n","title":"Genomic DNA extraction from saliva samples using Oragene-DNA (OG-500) Kit (DNA Genotek, CANADA) v1","year":2017,"lang":"en","type":"preprint","venue":"","topic":"Salivary Gland Disorders and Functions","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"DNA; genomic DNA; DNA extraction; Saliva; Molecular biology; Extraction (chemistry); Biology; Genetics; Computational biology; Chemistry; Chromatography; Polymerase chain reaction; Gene; Biochemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002092054,0.000644121,0.0009508903,0.0002158009,0.0006476616,0.0002067876,0.0003933548,0.0006532848,0.003659487],"category_scores_gemma":[0.0001993071,0.0005872673,0.0003325635,0.00007738433,0.00009983111,0.0001228806,0.0004195102,0.0008420897,0.00007405543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007682442,"about_ca_system_score_gemma":0.003354106,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8508811,"about_ca_topic_score_gemma":0.5655702,"domain_scores_codex":[0.9969062,0.00008403243,0.0006858028,0.001084142,0.0006420929,0.0005977061],"domain_scores_gemma":[0.9968625,0.0001665704,0.0005162749,0.001813708,0.0002025967,0.0004383079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002589166,0.00169172,0.3204527,0.001584992,0.006356128,0.001692314,0.00168888,0.005711607,0.3536302,0.0008636496,0.2703734,0.03336518],"study_design_scores_gemma":[0.00500257,0.0002311129,0.7269742,0.0009064836,0.003870369,0.0003358703,0.001889938,0.008761416,0.00802284,0.005017971,0.2360861,0.002901173],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9636238,0.002300208,0.01021843,0.001436603,0.004380505,0.0009244598,0.0007631505,0.0002120686,0.01614083],"genre_scores_gemma":[0.9833676,0.0007447224,0.005609696,0.001134409,0.00271093,0.00004316257,0.002356659,0.0001473187,0.003885505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4065215,"threshold_uncertainty_score":0.9996579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07201440725105185,"score_gpt":0.3009291051169717,"score_spread":0.2289146978659198,"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."}}