{"id":"W1932874225","doi":"10.1063/1.4738962","title":"Robust and economical multi-sample, multi-wavelength UV/vis absorption and fluorescence detector for biological and chemical contamination","year":2012,"lang":"en","type":"article","venue":"AIP Advances","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Detector; Contamination; Absorption (acoustics); Ethylene glycol; Fluorescence; Activity-based costing; Robustness (evolution); Environmental science; Materials science; Computer science; Chemistry; Optics; Telecommunications; Physics; Business","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":[0.00009233841,0.0001175852,0.0001447328,0.00003113889,0.00005166058,0.00002463933,0.00002384417,0.0001098206,0.000005921859],"category_scores_gemma":[0.0001338437,0.00009904062,0.00002117803,0.00003023157,0.0001021861,0.0002414909,0.00001800694,0.00008177515,0.000001794149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002424456,"about_ca_system_score_gemma":0.000001283471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003988979,"about_ca_topic_score_gemma":0.000009526312,"domain_scores_codex":[0.9994466,0.00001061047,0.0001388618,0.0001756997,0.00002989864,0.0001982869],"domain_scores_gemma":[0.999603,0.0002057841,0.00002293495,0.0000457415,0.0000176871,0.0001048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001032892,0.0001256054,0.06345182,0.0002920487,0.00005093473,6.442149e-7,0.0002262567,0.000118101,0.3633645,0.0006322471,0.00001968688,0.5716149],"study_design_scores_gemma":[0.001304072,0.0001277841,0.1730641,0.00003510969,0.00003041202,0.0000135277,0.0001129687,0.7771224,0.04592139,0.0001635912,0.001738079,0.0003664827],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9309085,0.001443495,0.06727189,0.00003017103,0.0001029987,0.0001578425,0.00002526496,0.00005540656,0.000004437911],"genre_scores_gemma":[0.9674994,0.001398078,0.03093595,0.00001451772,0.0001107127,0.00001826512,0.000008393296,0.00001016333,0.000004501572],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7770044,"threshold_uncertainty_score":0.4038759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03620084623815709,"score_gpt":0.2426382319380366,"score_spread":0.2064373856998795,"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."}}