{"id":"W2425125548","doi":"10.1038/srep27970","title":"Microfluidic Assessment of Frying Oil Degradation","year":2016,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Plant Surface Properties and Treatments","field":"Agricultural and Biological Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Specialized Research Fund for the Doctoral Program of Higher Education of China; University of Toronto; Science and Technology Commission of Shanghai Municipality; National Natural Science Foundation of China; Canada Research Chairs","keywords":"Degradation (telecommunications); Microfluidics; Chemistry; Food science; Computer science; Nanotechnology; Materials science; Telecommunications","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":[0.0002793395,0.0003561646,0.0001770501,0.0003668889,0.000132254,0.0002165523,0.0001805127,0.0002963759,0.0004104205],"category_scores_gemma":[0.0003857358,0.00008889831,0.0001670067,0.0001928441,0.0001278046,0.0002216749,0.0001967373,0.0003171941,0.00008475591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003430687,"about_ca_system_score_gemma":0.0001788478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006814419,"about_ca_topic_score_gemma":0.0008139687,"domain_scores_codex":[0.9997968,0.00002229134,0.00001581655,0.00004788351,0.00007642931,0.00004079473],"domain_scores_gemma":[0.9997717,0.00006071258,0.00007341593,0.00001087327,0.00006567562,0.00001771747],"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":[0.00002937626,0.00001417601,0.0004655384,0.00002752621,0.000004548871,0.00001574494,0.00001718287,0.00008622125,0.996684,0.00004093566,0.00002100446,0.002593749],"study_design_scores_gemma":[0.000003582653,0.0002059163,0.004546857,0.00000392111,0.00001469982,0.00004276495,0.0000247454,0.002217576,0.9922568,0.000031714,0.0006449333,0.00000659206],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9675856,0.004285898,0.02561202,0.0001037494,0.00008197495,0.0001093851,0.0004185264,0.0001682657,0.001634588],"genre_scores_gemma":[0.9751943,0.002261923,0.01976369,0.00006794123,0.00002850125,0.0001224057,0.0002829617,0.00001428391,0.002263958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006814419,"threshold_uncertainty_score":0.00248915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02530780385539955,"score_gpt":0.2319434151645214,"score_spread":0.2066356113091219,"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."}}