{"id":"W3214550887","doi":"10.32920/ryerson.14647038.v1","title":"Fat Crystal Spheroids – Formation, Characterization, Structure Modification, and use as Encapsulation Matrices","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Food Chemistry and Fat Analysis","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Spheroid; Differential scanning calorimetry; Crystallization; Materials science; Rheology; Shear rate; Chemical engineering; Polarized light microscopy; Crystal (programming language); Canola; Rheometer; Sphericity; Microstructure; Crystallography; Chemistry; Composite material; Thermodynamics","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":[0.0003018706,0.0003882637,0.000369491,0.0002271649,0.0001512411,0.0002142157,0.0001551172,0.0002302662,0.0003717597],"category_scores_gemma":[0.0002852649,0.0001445868,0.000327008,0.000217975,0.0002234091,0.0002745402,0.0001959553,0.0004136557,0.0001749567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002886717,"about_ca_system_score_gemma":0.0002300492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007840538,"about_ca_topic_score_gemma":0.001452156,"domain_scores_codex":[0.9998453,0.00002539099,0.00001711672,0.00004159104,0.00004416733,0.00002637349],"domain_scores_gemma":[0.9997703,0.00005714289,0.00005949955,0.00003093501,0.00005252485,0.00002958978],"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":[0.00002490492,0.000007668876,0.00006118223,0.00002133264,0.000001979169,0.00002554864,0.00001600639,0.0001225038,0.9992163,0.00003182031,0.000008136095,0.000462615],"study_design_scores_gemma":[0.000002554503,0.00007128865,0.0004623974,0.00000183719,0.000003725659,0.00004024468,0.000009854749,0.0006929461,0.9983671,0.00001164972,0.0003339749,0.000002483697],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841942,0.0008954598,0.01346358,0.00004703661,0.00001685885,0.0001257943,0.0003719189,0.0001271561,0.0007580306],"genre_scores_gemma":[0.9807277,0.0008699211,0.01624049,0.00001602573,0.000004554814,0.0001021434,0.0005868046,0.00004299027,0.001409541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007840538,"threshold_uncertainty_score":0.002094448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01771982365385806,"score_gpt":0.2138837642625449,"score_spread":0.1961639406086869,"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."}}