{"id":"W2884029451","doi":"10.4236/opj.2018.87021","title":"Effect of Temperature on Optical Properties of Vegetable Oils Using UV-Vis and Laser Fluorescence Spectroscopy","year":2018,"lang":"en","type":"article","venue":"Optics and Photonics Journal","topic":"Edible Oils Quality and Analysis","field":"Chemistry","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Absorption (acoustics); Fluorescence spectroscopy; Analytical Chemistry (journal); Fluorescence; Absorption spectroscopy; Oleic acid; Spectroscopy; Linoleic acid; Materials science; Canola; Chemistry; Food science; Optics; Chromatography; Fatty acid; Organic chemistry; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005244567,0.00014825,0.0003461772,0.00005420372,0.0001698337,0.00008936195,0.00009553401,0.0001269615,0.00007472924],"category_scores_gemma":[0.0001144455,0.0001056114,0.00007666418,0.00009819314,0.0002859354,0.0000803561,0.00004506884,0.0003614295,5.153896e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001768959,"about_ca_system_score_gemma":0.00005971341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001087735,"about_ca_topic_score_gemma":0.000002449996,"domain_scores_codex":[0.9990501,0.00004154065,0.0003003404,0.000156215,0.0002496892,0.0002021158],"domain_scores_gemma":[0.9993242,0.00008434061,0.0001648571,0.000157223,0.0001446974,0.0001247077],"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":[0.0002260131,0.00005507249,0.0007520325,0.0008338096,0.00008834459,0.000007660652,0.0002309383,0.00003548262,0.9973931,0.0001915393,0.000006989421,0.0001790012],"study_design_scores_gemma":[0.0004923055,0.0004646773,0.00001063414,0.0009378117,0.0001493249,0.00007580686,0.00007585513,0.007426149,0.9901459,0.00008941838,0.0000189611,0.0001131691],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975232,0.001093619,0.00001150986,0.00002870426,0.00005465868,0.00002399235,0.000009014915,0.000003846324,0.001251475],"genre_scores_gemma":[0.9935169,0.002139057,0.004111627,0.00001706358,0.0001443417,5.947899e-7,8.264657e-7,0.00001279397,0.00005674932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007390666,"threshold_uncertainty_score":0.4306708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01449338296667078,"score_gpt":0.2693659982205713,"score_spread":0.2548726152539005,"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."}}