{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002151583,0.0004025524,0.0003517448,0.0003438145,0.0004883768,0.0004389054,0.0003920037,0.0004335805,0.001190991],"category_scores_gemma":[0.0005834564,0.0003069563,0.0004580858,0.0002268101,0.0004771042,0.0004563594,0.0002851626,0.0005802769,0.0001277487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007133849,"about_ca_system_score_gemma":0.0005743522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004445117,"about_ca_topic_score_gemma":0.002498751,"domain_scores_codex":[0.999911,0.00001353568,0.000003823874,0.00001197583,0.00002951395,0.00003014455],"domain_scores_gemma":[0.9997895,0.0001069863,0.00003154846,0.00001463858,0.00003432295,0.00002298616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003677113,0.0002612549,0.006562629,0.0001222009,0.00009836633,0.0003402552,0.00030553,0.8166274,0.1617864,0.006715118,0.0003584716,0.006454723],"study_design_scores_gemma":[0.00001638803,0.00004674043,0.001514305,0.000005071567,0.00000895566,0.00001076468,0.00002947078,0.9839441,0.01380956,0.0003952518,0.0002098494,0.000009619482],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938812,0.00006459694,0.004122751,0.00007060232,0.00000756898,0.00001696077,0.0001020588,0.00005459758,0.001679691],"genre_scores_gemma":[0.9972779,0.00006439129,0.002126725,0.00001374436,0.000003871286,0.00004026481,0.0001281416,0.00002573529,0.0003192585],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004445117,"threshold_uncertainty_score":0.008838475,"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."}}