{"id":"W2270153484","doi":"10.1016/j.foodchem.2016.02.064","title":"Characterization of the nanoscale structure of milk fat","year":2016,"lang":"en","type":"article","venue":"Food Chemistry","topic":"Food Chemistry and Fat Analysis","field":"Agricultural and Biological Sciences","cited_by":48,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Argonne National Laboratory; Office of Science; National Institutes of Health","keywords":"Small-angle X-ray scattering; Nanoscopic scale; Materials science; Characterization (materials science); Homogenization (climate); Scattering; Crystallography; Crystal (programming language); Chemical engineering; Nanotechnology; Analytical Chemistry (journal); Chemistry; Chromatography; Optics; Physics","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":[0.00001480691,0.00006884209,0.0001073894,0.000001040892,0.00003517115,0.000003254503,0.0002342032,0.00008955364,0.0006678464],"category_scores_gemma":[0.00002156472,0.00001798032,0.0001017596,0.0001498785,0.00007370883,0.00002742026,0.00004843427,0.00003366209,6.268845e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006191463,"about_ca_system_score_gemma":0.00000334826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003110571,"about_ca_topic_score_gemma":0.000006011249,"domain_scores_codex":[0.9995223,0.000007061784,0.000147065,0.0001145807,0.0001235001,0.00008555171],"domain_scores_gemma":[0.9996842,0.00002045696,0.0001401123,0.00008104642,0.00004897419,0.00002526279],"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":[0.000007760071,0.00001744076,0.001695543,0.00002117902,0.0000165101,3.910917e-8,0.000009830823,6.516029e-8,0.9960458,0.000003849137,0.00002480889,0.002157118],"study_design_scores_gemma":[0.00005718151,0.00002229612,0.0059288,0.0000315481,0.00001396251,9.866857e-7,0.00002127912,5.445783e-7,0.9928291,0.00009805925,0.0009432224,0.0000529705],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988872,0.00001843977,6.965857e-7,0.0003460025,0.00002253112,0.0000231763,0.0003221585,0.000007767286,0.000372054],"genre_scores_gemma":[0.9992694,0.000007079103,0.000004196885,0.00001242003,0.0001018247,8.54775e-7,0.00003528499,4.358983e-7,0.0005684536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004233257,"threshold_uncertainty_score":0.7312449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006483016601380874,"score_gpt":0.1651053340200619,"score_spread":0.1586223174186811,"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."}}