{"id":"W4368341232","doi":"10.1101/2023.05.03.539123","title":"Multiplexed fluorescence and scatter detection with single cell resolution using on-chip fiber optics for droplet microfluidic applications","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Innovative Microfluidic and Catalytic Techniques Innovation","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Centre","funders":"","keywords":"Microfluidics; Lab-on-a-chip; Multiplexing; Optical fiber; Chip; Materials science; Nanotechnology; Instrumentation (computer programming); Optoelectronics; Computer science; Optics; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004502856,0.0005130321,0.000314384,0.0003849937,0.0001939139,0.0005382264,0.000311948,0.0004144943,0.001082246],"category_scores_gemma":[0.0002730417,0.0002193906,0.0002595225,0.0001843321,0.0003279796,0.0004826167,0.0004050695,0.00039548,0.0003196165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005209533,"about_ca_system_score_gemma":0.0003891959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008296742,"about_ca_topic_score_gemma":0.001159033,"domain_scores_codex":[0.9996686,0.00003286214,0.00001649897,0.00009660203,0.0001413706,0.00004417637],"domain_scores_gemma":[0.9998808,0.0000370318,0.00002403123,0.00001681262,0.00002904794,0.00001224725],"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":[0.00003243358,0.00002177191,0.0001550361,0.00001925622,0.000003556892,0.00002523676,0.00001501692,0.0003540428,0.9934734,0.0004152228,0.0001108633,0.005374126],"study_design_scores_gemma":[0.000008101562,0.00004176208,0.0002552362,0.000001941888,0.000003284772,0.00004552154,0.000005858801,0.008249955,0.989689,0.0001125913,0.001578908,0.000007722098],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7447125,0.00177648,0.2472655,0.0004096891,0.0002950401,0.0002343083,0.0003552339,0.0009604634,0.003990734],"genre_scores_gemma":[0.7480085,0.001101809,0.2454873,0.0001035308,0.00006298405,0.0001528725,0.0002350322,0.00007700044,0.004770925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001082246,"threshold_uncertainty_score":0.003779829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02163437080752151,"score_gpt":0.218683196654135,"score_spread":0.1970488258466135,"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."}}