{"id":"W4392607483","doi":"10.1039/d3nr05553a","title":"Tunable nanofluidic device for digital nucleic acid analysis","year":2024,"lang":"en","type":"article","venue":"Nanoscale","topic":"Electrowetting and Microfluidic Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Canada Foundation for Innovation; Canadian Cancer Society Research Institute; CMC Microsystems; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Nucleic acid; Nanotechnology; Nucleic acid quantitation; Nanofluidics; Digital polymerase chain reaction; Materials science; Chemistry; Biochemistry; Polymerase chain reaction","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":[0.0002015809,0.0002558395,0.0001843532,0.0002684171,0.0004186686,0.0003398489,0.0007401676,0.0006489191,0.001517144],"category_scores_gemma":[0.0003450355,0.0001771585,0.0001517644,0.0002199725,0.0003017189,0.0004768808,0.0003795474,0.0005013859,0.0004554392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006951397,"about_ca_system_score_gemma":0.0003560852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003569526,"about_ca_topic_score_gemma":0.0008923366,"domain_scores_codex":[0.999761,0.00001700903,0.00001545276,0.00008961046,0.00009651868,0.00002035136],"domain_scores_gemma":[0.9998899,0.00003961357,0.00001980715,0.00001671818,0.00001984516,0.00001427984],"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":[0.00003129253,0.00001598478,0.0000497423,0.00004221321,0.000002779723,0.00003296685,0.0000162449,0.0001182608,0.9924615,0.001046736,0.0005876626,0.005594721],"study_design_scores_gemma":[0.00002455475,0.0000910853,0.0003233032,0.000007857456,0.000009397186,0.0001296534,0.000006214627,0.005253262,0.9795588,0.0002411007,0.01433174,0.00002306113],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5985653,0.01024608,0.355446,0.002015824,0.001581043,0.0006840785,0.003530596,0.003628798,0.02430231],"genre_scores_gemma":[0.7359649,0.001792352,0.2424116,0.0009434455,0.0001859045,0.0006391134,0.0009199288,0.0001014097,0.01704144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001517144,"threshold_uncertainty_score":0.005075336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007278917544017108,"score_gpt":0.2186423210442217,"score_spread":0.2113634035002046,"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."}}