{"id":"W2549262603","doi":"10.1177/1082013216679010","title":"Actinometric and biodosimetric evaluation of UV-C dose delivery in annular, Taylor–Coutte and coiled tube continuous systems","year":2016,"lang":"en","type":"article","venue":"Food Science and Technology International","topic":"Innovative Microfluidic and Catalytic Techniques Innovation","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Laminar flow; Taylor–Couette flow; Chemistry; Tube (container); Reynolds number; Mechanics; Analytical Chemistry (journal); Continuous reactor; Materials science; Turbulence; Optics; Chromatography; Physics; Composite material; Biochemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.001089589,0.00009038341,0.0001320742,0.002708508,0.00003797846,0.0000227924,0.0001630413,0.0001011192,0.000005024854],"category_scores_gemma":[0.0003827939,0.00007082194,0.000005752776,0.002728408,0.0005359692,0.0002958299,0.00009180849,0.00008266947,7.288812e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000128328,"about_ca_system_score_gemma":0.00003941667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007300344,"about_ca_topic_score_gemma":6.707805e-7,"domain_scores_codex":[0.9990569,0.000008832928,0.0002460247,0.0002116486,0.0003393525,0.0001372217],"domain_scores_gemma":[0.999077,0.00003785335,0.00007180226,0.000103453,0.00069294,0.00001693839],"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":[0.00001494259,0.00003113906,0.0817387,0.00003105339,0.00004279085,0.000002105333,0.0001115587,0.000002131902,0.5593614,0.02737943,0.00009259756,0.3311922],"study_design_scores_gemma":[0.004011375,0.0006524162,0.1930067,0.000316146,0.00004451854,0.0002027256,0.001095946,0.02511819,0.7704791,0.003720761,0.0008402821,0.0005118439],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945092,0.001536815,0.002795968,0.0002059714,0.0001854314,0.0002064172,0.00002381981,0.00007840226,0.0004579965],"genre_scores_gemma":[0.9997005,0.000114691,0.0001213246,0.000008858957,0.00001073904,0.00002912801,0.000002588732,0.000005215846,0.000006966404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3306803,"threshold_uncertainty_score":0.2888035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01691409480408705,"score_gpt":0.2494125262857506,"score_spread":0.2324984314816636,"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."}}