{"id":"W2762943622","doi":"10.1016/j.plipres.2017.10.001","title":"Modulating fat digestion through food structure design","year":2017,"lang":"en","type":"review","venue":"Progress in Lipid Research","topic":"Food Chemistry and Fat Analysis","field":"Agricultural and Biological Sciences","cited_by":211,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Food science; Digestion (alchemy); Emulsion; Chemistry; Rheology; Matrix (chemical analysis); Oil droplet; Chromatography; Materials science; Biochemistry","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":[0.001051994,0.0003425456,0.0009866015,0.00004736887,0.0006804714,0.0004207299,0.001362606,0.0006490067,0.0001726594],"category_scores_gemma":[0.000361893,0.0001227871,0.0003136031,0.0008017352,0.0003569535,0.0001949541,0.0004294767,0.001349945,0.00002232879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001157197,"about_ca_system_score_gemma":0.00004274249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002876534,"about_ca_topic_score_gemma":0.00006832381,"domain_scores_codex":[0.9965534,0.0007320907,0.0004814932,0.0007384158,0.0007530062,0.0007415536],"domain_scores_gemma":[0.9985878,0.0005928873,0.0002771471,0.0002781145,0.0001615776,0.0001024337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007428601,0.00004673344,0.0001590608,0.001437535,0.00005455027,0.000007868504,0.000028032,0.000001592706,0.00002346061,0.00004695301,0.0001001954,0.9980866],"study_design_scores_gemma":[0.00007361613,0.0003070003,0.00008537764,0.006156281,0.0000750683,0.00001117399,0.00004627757,0.00005491438,0.0001465566,0.001139271,0.9914657,0.0004387198],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005170713,0.9979928,0.000001591714,0.0001218952,0.0001105833,0.0006847394,0.00007016306,0.00003995643,0.0004611855],"genre_scores_gemma":[0.01961875,0.9775352,0.0003752174,0.000002136989,0.001738823,0.0002201857,0.0003042693,0.000004475665,0.0002008865],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9976479,"threshold_uncertainty_score":0.5864915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4460527556810036,"score_gpt":0.4558789984872372,"score_spread":0.009826242806233676,"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."}}