{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000406336,0.00006854691,0.00009943503,0.00001129361,0.0001736336,0.00005062482,0.00007225479,0.00002906598,0.0002823639],"category_scores_gemma":[0.00002718641,0.00001775243,0.00005409479,0.0001620646,0.00006048097,0.0001318978,0.00004078968,0.00001727537,0.0000133391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002611732,"about_ca_system_score_gemma":0.00001689044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009441295,"about_ca_topic_score_gemma":0.00005516688,"domain_scores_codex":[0.9990196,0.00002523837,0.0002408041,0.0003056401,0.0002518086,0.0001569074],"domain_scores_gemma":[0.9995884,0.00003401155,0.0001660163,0.00009127815,0.00007139137,0.00004888837],"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":[0.000001558221,0.00003862796,0.05584379,0.000002467676,0.00000604721,0.00001549618,0.000006506289,1.085575e-7,0.8585863,0.00001165514,0.0017496,0.08373789],"study_design_scores_gemma":[0.0001482307,0.00009777435,0.1355745,0.0001556005,0.00002234354,0.0000910445,0.00007558388,0.00001272366,0.7047123,0.001195629,0.1576953,0.0002189949],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968573,0.0004051914,0.000005786995,0.0003382013,0.001215165,0.00004582113,0.0000110292,0.00002532929,0.00109621],"genre_scores_gemma":[0.993779,0.0001207827,0.0001112243,0.000006652125,0.00001651211,0.000005595616,0.00003978883,4.041416e-7,0.005920054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1559457,"threshold_uncertainty_score":0.3091687,"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."}}