{"id":"W2053823881","doi":"10.1002/lite.201200205","title":"Edible oleogels in food products to help maximize health benefits and improve nutritional profiles","year":2012,"lang":"en","type":"article","venue":"Lipid Technology","topic":"Food Chemistry and Fat Analysis","field":"Agricultural and Biological Sciences","cited_by":198,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Nutraceutical; Food science; Health benefits; Food products; Chemistry; Fat substitute; Vegetable oil; Edible oil; Biotechnology; Business; Biology; Traditional medicine; Medicine","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":[0.0001457008,0.0001125316,0.0001973101,0.00004632001,0.00009234762,0.0000135782,0.0001570866,0.0001596257,0.00004410518],"category_scores_gemma":[0.00006847983,0.00005281109,0.0000256835,0.0007726708,0.00005965618,0.00007883232,0.0001138436,0.0001380557,0.00001477996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002261693,"about_ca_system_score_gemma":0.000007738489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003753627,"about_ca_topic_score_gemma":0.0001428565,"domain_scores_codex":[0.9990232,0.00001482006,0.000178284,0.0002837813,0.00009052121,0.0004094224],"domain_scores_gemma":[0.9997188,0.00002667962,0.00005416801,0.00006985355,0.00002934058,0.0001010846],"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":[0.00003776496,0.0004008385,0.06308803,0.00004873311,0.00002391945,6.165143e-7,0.00007800461,7.640358e-7,0.7166713,0.003083555,0.001025142,0.2155413],"study_design_scores_gemma":[0.0004312433,0.001330216,0.07384921,0.00008200685,0.00001074248,0.00003574333,0.0007485599,0.000006756132,0.8850143,0.001988149,0.03606842,0.0004346544],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9653978,0.001884414,7.588121e-7,0.03217144,0.00008450135,0.000202964,0.00006326692,0.00008840409,0.0001064279],"genre_scores_gemma":[0.9980646,0.0001165914,0.0008731854,0.0002873158,0.0004720739,0.00008232881,0.00004364546,8.94522e-7,0.00005932133],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2151066,"threshold_uncertainty_score":0.2153574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01698046474470211,"score_gpt":0.2116261620067658,"score_spread":0.1946456972620637,"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."}}