{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007525484,0.000145721,0.0001886626,0.0002601933,0.00006268609,0.0001706302,0.0001788902,0.0001336425,0.00003163702],"category_scores_gemma":[0.00003701608,0.0001373095,0.0001905656,0.0008915436,0.00002984105,0.0001678784,0.00002747181,0.0001223777,0.0001224213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007238272,"about_ca_system_score_gemma":0.00001891418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004307266,"about_ca_topic_score_gemma":0.000003271772,"domain_scores_codex":[0.9991701,0.000003179431,0.0001636419,0.0002283221,0.00008594119,0.0003487787],"domain_scores_gemma":[0.9996454,0.00005993973,0.000008220575,0.000224052,0.00002417312,0.00003820111],"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":[0.00000301681,0.00001229984,0.0002065847,0.000170125,0.0004748565,0.000007842251,0.00008646818,0.00004123852,0.8961093,0.0004412061,0.05397652,0.04847052],"study_design_scores_gemma":[0.00007927134,0.00003785466,0.00003931322,0.00003149264,0.0001953304,0.000004942315,0.00004591162,0.001978302,0.7411631,0.0004434662,0.2558022,0.0001788024],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8853024,0.0685043,0.03213072,0.0004039806,0.0006457844,0.0002881677,0.0001431982,0.007191227,0.005390237],"genre_scores_gemma":[0.9969815,0.0003279397,0.0004947706,0.00002567155,0.00006120497,0.00005182343,0.00003532559,0.00004468561,0.001977067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2018256,"threshold_uncertainty_score":0.5599321,"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."}}