{"id":"W2752139607","doi":"","title":"A microfluidic system for assessing frying oil quality","year":2016,"lang":"en","type":"article","venue":"IEEE Conference Proceedings","topic":"Innovative Microfluidic and Catalytic Techniques Innovation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Microfluidics; Process engineering; Degradation (telecommunications); Metric (unit); Quality (philosophy); Petroleum engineering; Computer science; Environmental science; Materials science; Nanotechnology; Biochemical engineering; Engineering; Telecommunications; Operations management","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":[0.0008689347,0.0007165785,0.0005228868,0.000735847,0.0005515361,0.0004618147,0.0007436759,0.0007608315,0.001094546],"category_scores_gemma":[0.0008427062,0.0003193198,0.0003395537,0.000274795,0.0002634261,0.0004649457,0.0005638091,0.0006572126,0.0005076361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005200804,"about_ca_system_score_gemma":0.0008796175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005382628,"about_ca_topic_score_gemma":0.0006191809,"domain_scores_codex":[0.9991543,0.00008111972,0.00008401446,0.0002472784,0.0003770912,0.00005625546],"domain_scores_gemma":[0.9995176,0.0001315681,0.0001011541,0.00005373644,0.0001467802,0.00004923727],"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":[0.00005884637,0.0000538218,0.0004046041,0.0001326437,0.00001519346,0.00004773616,0.00002865376,0.0002034525,0.9785453,0.0005209565,0.0005473362,0.01944156],"study_design_scores_gemma":[0.00003638363,0.000737269,0.002212915,0.00002364473,0.00006438715,0.0004557686,0.00001262383,0.005532912,0.9719473,0.000217282,0.01870842,0.00005107461],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2564186,0.009680056,0.7154924,0.001232714,0.001751025,0.002361911,0.002760555,0.005226689,0.005075974],"genre_scores_gemma":[0.4174696,0.004336936,0.5669385,0.0007857661,0.0003624122,0.002299637,0.001393509,0.00007771287,0.006335848],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001094546,"threshold_uncertainty_score":0.004595399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04357792873294356,"score_gpt":0.2910064041918143,"score_spread":0.2474284754588708,"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."}}