{"id":"W2793622104","doi":"10.1093/bioinformatics/bty136","title":"ddPCRclust: an R package and Shiny app for automated analysis of multiplexed ddPCR data","year":2018,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Innovative Microfluidic and Catalytic Techniques Innovation","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; BC Cancer Agency","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bottleneck; Digital polymerase chain reaction; Computer science; Throughput; Multiplexing; Interface (matter); Operating system; Embedded system; Polymerase chain reaction; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004168108,0.0001335566,0.0002509228,0.0003477,0.0000580936,0.0000310027,0.0002964959,0.0001011196,0.00001419195],"category_scores_gemma":[0.00007505732,0.0001249229,0.00002672636,0.001020708,0.000131303,0.0004715437,0.0001041296,0.00005568659,0.000003580521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002854572,"about_ca_system_score_gemma":0.00001760503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007878283,"about_ca_topic_score_gemma":0.000004475023,"domain_scores_codex":[0.9990904,0.000005135093,0.0005165352,0.0001064783,0.0001107647,0.0001706859],"domain_scores_gemma":[0.9989542,0.00003310361,0.000115493,0.000633333,0.0002318409,0.00003197406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001557142,0.0002442545,0.002690909,0.002586085,0.004793224,0.000001846428,0.01823617,0.0003938421,0.5544221,0.02282705,0.1514285,0.2422204],"study_design_scores_gemma":[0.0002523839,0.00007280482,0.001489215,0.00001448723,0.0001825833,0.000001361312,0.0002757814,0.9407333,0.05253686,0.00004510089,0.004242724,0.0001534312],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08606836,0.00004385394,0.90977,0.00001415651,0.0001143974,0.0003799317,0.001157641,0.001051488,0.001400147],"genre_scores_gemma":[0.8631868,0.00001027949,0.1340174,0.0000702895,0.00004545816,0.00001024677,0.002617777,0.00002009598,0.00002166383],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9403394,"threshold_uncertainty_score":0.5094208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03518436810683422,"score_gpt":0.2955873917552118,"score_spread":0.2604030236483776,"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."}}