{"id":"W2034548722","doi":"10.1007/s11746-010-1596-8","title":"Pre‐Nucleation Structuring of TAG Melts Revealed by Fluorescence Polarization Spectroscopy and Molecular Mechanics Simulations","year":2010,"lang":"en","type":"article","venue":"Journal of the American Oil Chemists Society","topic":"Food Chemistry and Fat Analysis","field":"Agricultural and Biological Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Microviscosity; Nucleation; Fluorescence anisotropy; van der Waals force; Triolein; Tripalmitin; Stearic acid; Chemical physics; Oleic acid; Chemistry; Crystallization; Fluorescence spectroscopy; Chemical engineering; Materials science; Crystallography; Analytical Chemistry (journal); Thermodynamics; Organic chemistry; Molecule; Fluorescence; Chromatography; Optics","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":[0.000134851,0.00008488601,0.0001741202,0.000002969411,0.0001161662,0.00002482237,0.0002287067,0.00005234055,0.00002080928],"category_scores_gemma":[0.00009834768,0.00003609016,0.0001774361,0.0002819579,0.000117964,0.00007383043,0.0000469615,0.0002350613,5.695648e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002131643,"about_ca_system_score_gemma":0.00001136544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003971531,"about_ca_topic_score_gemma":0.000005492774,"domain_scores_codex":[0.9993062,0.00002092672,0.0002372859,0.000105408,0.0002293836,0.0001007721],"domain_scores_gemma":[0.9990224,0.00005591277,0.0006661316,0.00006775394,0.0001308779,0.00005691918],"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":[0.00001325155,0.0000206454,0.002786753,0.00001031519,0.00003791824,1.285919e-7,0.00009514018,0.00003024778,0.9953019,0.000007193443,0.00008576073,0.001610763],"study_design_scores_gemma":[0.00008429829,0.00004380857,0.006709103,0.00001479037,0.00006181718,0.000008691294,0.0001958368,0.001128349,0.9913948,0.0001910261,0.00009280278,0.00007470314],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999198,0.00004069009,0.00003135665,0.000636181,0.0000240815,0.00001620882,0.00002009615,0.00000495992,0.00002838289],"genre_scores_gemma":[0.9982448,0.00007030772,0.00150144,0.00006732749,0.00007207238,1.850837e-7,0.000007152462,0.00000119625,0.00003553987],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003922351,"threshold_uncertainty_score":0.1471714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003068674115752618,"score_gpt":0.203196053162411,"score_spread":0.2001273790466584,"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."}}