{"id":"W3108312350","doi":"10.1039/d0lc01069c","title":"Real-time isothermal DNA amplification monitoring in picoliter volumes using an optical fiber sensor","year":2020,"lang":"en","type":"article","venue":"Lab on a Chip","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Outaouais","funders":"Fonds de Recherche du Québec - Santé; Narodowe Centrum Nauki; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Fonds Québécois de la Recherche sur la Nature et les Technologies; Armand-Frappier Foundation","keywords":"Loop-mediated isothermal amplification; Isothermal process; Fiber; Optical fiber; Materials science; DNA; Chemistry; Thermodynamics; Optics; Physics; Biochemistry; Composite material","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":[0.00005066325,0.0001121339,0.0001295013,0.00004575381,0.00002761832,0.00004893912,0.00005350154,0.00009332567,0.0001034101],"category_scores_gemma":[0.00001960481,0.0001105244,0.0000354174,0.0001622085,0.00001492133,0.0001008175,0.000008876125,0.0001601018,0.0002015187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005358773,"about_ca_system_score_gemma":0.000003976002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001688185,"about_ca_topic_score_gemma":9.679811e-7,"domain_scores_codex":[0.9993363,0.00002572721,0.0001617646,0.0001802139,0.0001031062,0.0001929072],"domain_scores_gemma":[0.9997176,0.00002280182,0.00001384847,0.0001197109,0.00001337673,0.0001126723],"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":[0.00004917625,0.00005725354,0.00139389,0.00005674741,0.00001623768,0.00001377536,0.0004351958,0.01663448,0.9723499,0.0001951277,0.00002861593,0.008769536],"study_design_scores_gemma":[0.0003497106,0.00009966607,0.04713143,0.0000647994,0.00001618105,0.000003816925,0.00005688098,0.8611965,0.09007033,0.00004817005,0.0006720822,0.0002904172],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974036,0.000006326786,0.0002213122,0.0001351879,0.00006272669,0.00007646988,0.000004298265,0.0001952909,0.001894816],"genre_scores_gemma":[0.9975693,0.000006100473,0.001810148,0.00004911521,0.0003948612,0.000002903968,0.000003115813,0.0000324952,0.0001320258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8822796,"threshold_uncertainty_score":0.4507055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02646033425880673,"score_gpt":0.2443097331975332,"score_spread":0.2178493989387265,"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."}}