{"id":"W2950619909","doi":"10.1101/077917","title":"An International Inter-Laboratory Digital PCR Study Demonstrates High Reproducibility for the Measurement of a Rare Sequence Variant","year":2016,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Innovative Microfluidic and Catalytic Techniques Innovation","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"European Commission; Government of the United Kingdom; European Association of National Metrology Institutes","keywords":"Reproducibility; Digital polymerase chain reaction; Calibration; Computational biology; Computer science; Molecular diagnostics; Biology; Chromatography; Chemistry; Bioinformatics; Statistics; Mathematics; Polymerase chain reaction; Genetics; Gene","routes":{"ca_aff":true,"ca_fund":false,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.04332497,0.0008096849,0.0006338406,0.001411517,0.0008101151,0.002907769,0.001437803,0.001687866,0.001696738],"category_scores_gemma":[0.0674406,0.0006344827,0.0007544549,0.001354252,0.0031602,0.0008934648,0.001665372,0.001574214,0.00105744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008252237,"about_ca_system_score_gemma":0.0007677723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001200048,"about_ca_topic_score_gemma":0.001176551,"domain_scores_codex":[0.9383115,0.02535255,0.004476845,0.01431486,0.01639759,0.001146772],"domain_scores_gemma":[0.8499891,0.07749931,0.01868254,0.0333953,0.01871671,0.001717075],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00356228,0.001483811,0.4524801,0.0008492611,0.002064624,0.0005859166,0.00777566,0.005698209,0.3733557,0.006269417,0.003453272,0.1424217],"study_design_scores_gemma":[0.0003766962,0.007628859,0.3950733,0.0002752228,0.001747077,0.003287129,0.001852728,0.02221096,0.5324906,0.003561877,0.03109055,0.0004050169],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7979102,0.002626739,0.1832848,0.0008196958,0.0006229678,0.0004502664,0.001069137,0.001240292,0.01197605],"genre_scores_gemma":[0.9637677,0.0001606246,0.03327601,0.0004998013,0.0001267774,0.0001600446,0.0006056207,0.0002143679,0.001189108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9566751,"threshold_uncertainty_score":0.229127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03030852099580349,"score_gpt":0.2499997407662449,"score_spread":0.2196912197704414,"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."}}