{"id":"W3048519911","doi":"10.1038/s41598-020-70566-1","title":"Microchip capillary electrophoresis dairy device using fluorescence spectroscopy for detection of ciprofloxacin in milk samples","year":2020,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation; Ontario Centres of Excellence","keywords":"Capillary electrophoresis; Ciprofloxacin; Chromatography; Antibiotics; Fluorescence spectroscopy; Dairy industry; Chemistry; Food science; Fluorescence; Biochemistry","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":[0.0004921225,0.0004386176,0.0004204397,0.0005785862,0.0003621244,0.0004480753,0.0005426138,0.0008482602,0.001340786],"category_scores_gemma":[0.0008369309,0.000273778,0.0002371979,0.0004920252,0.0003426485,0.0003520236,0.0003236055,0.0005024894,0.0005104131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005002629,"about_ca_system_score_gemma":0.0005724418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008142444,"about_ca_topic_score_gemma":0.00183212,"domain_scores_codex":[0.9991593,0.0001177836,0.00004267321,0.0002911083,0.0003273134,0.00006187553],"domain_scores_gemma":[0.9994394,0.0002965689,0.00007282643,0.0000388621,0.0001275298,0.00002484735],"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":[0.00008959134,0.00004121392,0.0006760436,0.0001012077,0.0000122076,0.00005532759,0.00005194315,0.0001647991,0.9870024,0.0003103376,0.0003334171,0.01116156],"study_design_scores_gemma":[0.000008422287,0.000175328,0.001545484,0.00001145781,0.00001496012,0.0002708855,0.0000286392,0.003940487,0.9894818,0.00006605653,0.004436326,0.00002026697],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.665483,0.01057326,0.3097619,0.001075807,0.0006518894,0.0004447259,0.001071682,0.003129609,0.007808299],"genre_scores_gemma":[0.65753,0.00320296,0.3284826,0.0005252536,0.00007457059,0.0004820224,0.0004928671,0.00007580329,0.009134001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001340786,"threshold_uncertainty_score":0.004485369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02027296946899966,"score_gpt":0.2348296826343307,"score_spread":0.2145567131653311,"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."}}