{"id":"W2328472251","doi":"10.1021/es4019817","title":"Design and Application of an Internal Amplification Control to Improve Dehalococcoides mccartyi 16S rRNA Gene Enumeration by qPCR","year":2013,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Strategic Environmental Research and Development Program; University of Toronto","keywords":"16S ribosomal RNA; Multiplex; Dehalococcoides; Biology; Enumeration; Ribosomal RNA; Gene; Real-time polymerase chain reaction; Molecular biology; Microbiology; Polymerase chain reaction; Chemistry; Genetics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004916131,0.001963873,0.00136414,0.00139027,0.000439996,0.001467695,0.001384478,0.001315316,0.001753624],"category_scores_gemma":[0.004889731,0.001600988,0.001410571,0.001040833,0.001595891,0.0007128454,0.00104644,0.001967126,0.001454066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001452344,"about_ca_system_score_gemma":0.002428643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001480039,"about_ca_topic_score_gemma":0.002336019,"domain_scores_codex":[0.9923268,0.0008270366,0.0006141269,0.00316955,0.002399672,0.000662736],"domain_scores_gemma":[0.9969301,0.0006053444,0.0005271758,0.0003097336,0.001389208,0.0002385376],"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":[0.00007225174,0.00009162362,0.0004391706,0.00009653988,0.000009832962,0.00002000018,0.00006803866,0.00077442,0.9921514,0.0005458982,0.0002004025,0.005530433],"study_design_scores_gemma":[0.00003456185,0.0003886885,0.0009643431,0.00002504785,0.00004354697,0.00004406688,0.00003418565,0.006831282,0.9838905,0.0002156333,0.007490802,0.00003725757],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1779022,0.001493167,0.8043076,0.0004963024,0.0006635372,0.00390326,0.002184164,0.003942192,0.005107507],"genre_scores_gemma":[0.2114482,0.000835343,0.7689893,0.0009402684,0.0000959392,0.0072406,0.004054006,0.000576152,0.0058201],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004916131,"threshold_uncertainty_score":0.02599931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002881479004104567,"score_gpt":0.1909883285028669,"score_spread":0.1881068494987623,"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."}}