{"id":"W3204914590","doi":"","title":"EXPLORING POTENTIAL OF COCONUT MEAT AS A FUNCTIONAL FOOD","year":2019,"lang":"en","type":"article","venue":"Advanced Food and Nutritional Sciences","topic":"Coconut Research and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coconut oil; Food science; Lauric acid; Fatty acid; Biology; Chemistry; Biochemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001513886,0.0004351203,0.0003804788,0.0009605216,0.0002647536,0.0007373667,0.0002842669,0.0006338864,0.005383753],"category_scores_gemma":[0.0001663419,0.000105496,0.0004344042,0.0004808595,0.000200552,0.0006518842,0.0003999587,0.0005077278,0.0006470048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002930899,"about_ca_system_score_gemma":0.0003280678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007955491,"about_ca_topic_score_gemma":0.001435339,"domain_scores_codex":[0.9999173,0.00001785857,0.000004205996,0.00001744193,0.00002567794,0.00001762699],"domain_scores_gemma":[0.9999424,0.00001656894,0.00001037754,0.000001705561,0.00001931379,0.000009654065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006851392,0.0004888598,0.002319175,0.03766718,0.0002463304,0.002871583,0.0005437775,0.0008689917,0.2043562,0.01848624,0.01574276,0.7157238],"study_design_scores_gemma":[0.00005147286,0.001763434,0.01151947,0.0051649,0.0004153558,0.003536703,0.0008426283,0.0009805989,0.06800338,0.008737829,0.8989168,0.00006734853],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.04513615,0.9200629,0.002849744,0.002500667,0.00110672,0.00004653673,0.0002551891,0.00005377575,0.02798841],"genre_scores_gemma":[0.2025736,0.7740689,0.004077516,0.001989612,0.0005954956,0.00005839501,0.0003482202,0.00002526305,0.01626304],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005383753,"threshold_uncertainty_score":0.0180105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06317927124385832,"score_gpt":0.2790035806194685,"score_spread":0.2158243093756102,"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."}}