{"id":"W4366966857","doi":"10.1109/access.2023.3270136","title":"Lock-in Amplifier Dairy Sensor for Detection of Ciprofloxacin","year":2023,"lang":"en","type":"article","venue":"IEEE Access","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia; Canada Foundation for Innovation; Ontario Centres of Excellence","keywords":"Capillary electrophoresis; Context (archaeology); Ciprofloxacin; Detection limit; Computer science; Lock (firearm); Lock-in amplifier; Amplifier; Chromatography; Chemistry; Engineering; Antibiotics; Biology; Microbiology; Telecommunications; Bandwidth (computing)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003744903,0.0004318846,0.0004078234,0.0003956114,0.0003846408,0.0005694632,0.001151128,0.001065464,0.003024885],"category_scores_gemma":[0.0009517563,0.0002288518,0.0002376104,0.0002340162,0.0003063427,0.0007358852,0.0005344556,0.0007049452,0.000896416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006377939,"about_ca_system_score_gemma":0.0005147353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008488185,"about_ca_topic_score_gemma":0.001436773,"domain_scores_codex":[0.9990766,0.00008605877,0.00004410493,0.0002331689,0.0004867647,0.00007336132],"domain_scores_gemma":[0.9995736,0.0001450282,0.00007054434,0.00003065787,0.0001422177,0.00003780135],"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":[0.0001041286,0.00002178981,0.0002137558,0.00004451475,0.000004088261,0.00004867458,0.00002483036,0.00008215971,0.993947,0.0001710958,0.0002161701,0.005121623],"study_design_scores_gemma":[0.00001923031,0.0002567376,0.0007841825,0.000007290188,0.00001534411,0.0002940128,0.00002416255,0.004809272,0.9890957,0.0000489304,0.004626686,0.00001841153],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6411702,0.006858226,0.3326629,0.002069711,0.001088066,0.0003938648,0.0006551514,0.003958507,0.01114342],"genre_scores_gemma":[0.8590736,0.0012179,0.1220447,0.001098331,0.0001516872,0.0002242137,0.0003167072,0.0001163197,0.01575647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003024885,"threshold_uncertainty_score":0.0101192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02299544958232029,"score_gpt":0.2745772420504147,"score_spread":0.2515817924680944,"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."}}