{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001464223,0.0002528334,0.0001473673,0.0003267589,0.00009059742,0.0003508463,0.0001227642,0.0003086595,0.0009977877],"category_scores_gemma":[0.0001175275,0.00009921742,0.0001642683,0.0001723936,0.0001455629,0.0003104601,0.0002085156,0.0003286491,0.0001715854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001927324,"about_ca_system_score_gemma":0.0001173607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002876469,"about_ca_topic_score_gemma":0.0005887535,"domain_scores_codex":[0.9999578,0.000008251538,0.000002939636,0.000009052919,0.0000131189,0.000008827697],"domain_scores_gemma":[0.9999588,0.000008884994,0.0000137633,0.000002625718,0.000008514534,0.000007521614],"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":[0.00006116142,0.00002665546,0.0001200483,0.0001362517,0.000007702682,0.00005921465,0.00001467657,0.000285548,0.9925805,0.0004355046,0.00008454326,0.006188176],"study_design_scores_gemma":[0.00002242281,0.0002210063,0.001221,0.00004805008,0.00003566929,0.0001282223,0.00003137186,0.000781601,0.9818656,0.0003489188,0.01528869,0.000007450809],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9467485,0.02530508,0.01892955,0.0005986139,0.0001343669,0.0000580922,0.0006193814,0.0003062247,0.007300209],"genre_scores_gemma":[0.9740642,0.007347557,0.01377101,0.0001189147,0.00002568571,0.00002274686,0.0002929663,0.00004657863,0.004310291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009977877,"threshold_uncertainty_score":0.00333792,"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."}}