{"id":"W2010989814","doi":"10.1039/c4ay02604g","title":"A localized temporary negative pressure assisted microfluidic device for detecting keratin 19 in A549 lung carcinoma cells with digital PCR","year":2015,"lang":"en","type":"article","venue":"Analytical Methods","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cybernet Systems Corporation (Canada)","funders":"State Key Laboratory of Industrial Control Technology; National Natural Science Foundation of China","keywords":"Digital polymerase chain reaction; Nucleic acid; Polymerase chain reaction; Microfluidics; Keratin; Chemistry; Computational biology; Molecular biology; Nanotechnology; Biology; Materials science; Biochemistry; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008379457,0.0003118484,0.000546066,0.0001992041,0.00006115949,0.0001198269,0.0002215901,0.0002741194,0.00000428309],"category_scores_gemma":[0.001138356,0.0002487927,0.00009703283,0.0006558505,0.0001629443,0.000181226,0.00009155613,0.0003587496,0.000004124388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001477755,"about_ca_system_score_gemma":0.0001146293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001051613,"about_ca_topic_score_gemma":0.000009527755,"domain_scores_codex":[0.9983367,0.0001726787,0.0004627084,0.0003965657,0.0001692505,0.0004621049],"domain_scores_gemma":[0.9983795,0.0009253211,0.00006664957,0.0003331149,0.0001201248,0.000175268],"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":[0.00225048,0.001293094,0.0540626,0.002658959,0.002181371,0.0007072819,0.003329019,0.001759848,0.4872195,0.001069163,0.1593516,0.2841171],"study_design_scores_gemma":[0.004546283,0.000322578,0.0005017614,0.000197027,0.0002798909,0.00005979501,0.001823558,0.378334,0.5959921,0.0008443185,0.01628372,0.0008149426],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2791612,0.006161131,0.7113695,0.000250348,0.0001426905,0.0007124594,0.00004345009,0.0007544766,0.001404807],"genre_scores_gemma":[0.757746,0.00002205707,0.241861,0.00006716896,0.00004930589,0.00002647896,0.00001001344,0.00005178574,0.0001661318],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4785848,"threshold_uncertainty_score":0.9999964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05237420006047434,"score_gpt":0.3186446894902175,"score_spread":0.2662704894297432,"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."}}