{"id":"W2023736216","doi":"10.1007/s11746-006-5046-6","title":"Modification of the Avrami model for application to the kinetics of the melt crystallization of lipids","year":2006,"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":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Ministry of Agriculture and Forestry; University of Alberta","funders":"Archer Daniels Midland","keywords":"Crystallization; Nucleation; Kinetics; Avrami equation; Thermodynamics; Materials science; Diffusion; Growth rate; Morphology (biology); Curse of dimensionality; Volume fraction; Crystal growth; Crystallization of polymers; Mathematics; Physics; Statistics","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":[0.0002527876,0.00007945925,0.0001819591,0.000002014928,0.0001064197,0.000008903272,0.0007447265,0.00004260892,0.000002104962],"category_scores_gemma":[0.00007464267,0.00002167903,0.0005362466,0.0005359086,0.0002636628,0.00002344395,0.00007144253,0.00009655064,4.305661e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004018581,"about_ca_system_score_gemma":0.00001801934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007597631,"about_ca_topic_score_gemma":0.00002476925,"domain_scores_codex":[0.9990731,0.00003148449,0.0003942182,0.00008791215,0.0003240417,0.0000891695],"domain_scores_gemma":[0.9980039,0.00009748506,0.001343411,0.0001760524,0.0003595768,0.00001960007],"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":[0.00001852378,0.00008041022,0.0004713307,0.0000220182,0.00003085817,1.453484e-9,0.0002069458,0.01499132,0.9802452,0.00002809286,0.001004592,0.002900742],"study_design_scores_gemma":[0.00008751262,0.00004204456,0.006858986,0.00002945468,0.0001270482,0.00000179234,0.000650463,0.01968033,0.9711036,0.0004096842,0.0009490982,0.00005999718],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924135,0.0000488073,0.001591144,0.005655911,0.00002094216,0.00007860387,0.00003718021,0.000002229925,0.0001516614],"genre_scores_gemma":[0.9989542,0.00004148572,0.0003610882,0.0001538835,0.0001485243,0.00000603201,0.000004033882,0.000001287738,0.0003294424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009141576,"threshold_uncertainty_score":0.1383899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01135927705736206,"score_gpt":0.2226674858467422,"score_spread":0.2113082087893801,"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."}}