{"id":"W2135261489","doi":"10.1093/nar/gku603","title":"Direct elicitation of template concentration from quantification cycle (Cq) distributions in digital PCR","year":2014,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Innovative Microfluidic and Catalytic Techniques Innovation","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Institute of General Medical Sciences; National Institutes of Health; Canadian Institutes of Health Research; Alberta Innovates; Alberta Innovates - Technology Futures","keywords":"Digital polymerase chain reaction; Serial dilution; Amplicon; Biology; Biological system; Dilution; Computational biology; Protocol (science); Chromatography; Polymerase chain reaction; Computer science; Genetics; Chemistry","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":[0.004593552,0.0009989914,0.0008996812,0.0009632234,0.0004715653,0.001670078,0.001512313,0.001221008,0.001844252],"category_scores_gemma":[0.009729073,0.00108097,0.0006714494,0.0008849891,0.002097423,0.001266169,0.00140262,0.003060069,0.001109965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001299049,"about_ca_system_score_gemma":0.001009963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005024509,"about_ca_topic_score_gemma":0.001045357,"domain_scores_codex":[0.9947935,0.0009057902,0.000365645,0.00164528,0.002054703,0.000235221],"domain_scores_gemma":[0.9934755,0.003823853,0.0008053864,0.0009632097,0.0007908528,0.0001412786],"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":[0.0000467006,0.00003403274,0.000306756,0.0001229167,0.000005753139,0.0000253775,0.00008160838,0.001114001,0.9877132,0.00145982,0.0001340245,0.008955678],"study_design_scores_gemma":[0.00000744097,0.00009633266,0.0004474872,0.00001384052,0.000008049682,0.00005316272,0.00001499349,0.008828974,0.9877508,0.0009668972,0.001786552,0.00002560256],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05019393,0.0004046574,0.9459387,0.0001779655,0.0001323258,0.0003210463,0.0003247389,0.0009555755,0.001551006],"genre_scores_gemma":[0.2933572,0.0009352393,0.6999722,0.000468167,0.00007920331,0.001146226,0.0005634019,0.0004261245,0.003052301],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004593552,"threshold_uncertainty_score":0.0242933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03603125267008828,"score_gpt":0.3148664300251353,"score_spread":0.278835177355047,"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."}}