{"id":"W3210258837","doi":"","title":"Effect of different conditions of subcritical water extraction on antioxidant capacity and amount of phenolic compounds of pomegranate pulp extract","year":2020,"lang":"en","type":"article","venue":"Journal of Food Research","topic":"Pomegranate: compositions and health benefits","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pulp (tooth); Chemistry; Antioxidant capacity; Pulp and paper industry; Food science; Extraction (chemistry); Antioxidant; Water extraction; Chromatography; Organic chemistry; Engineering","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":[0.000324473,0.001043249,0.0006256394,0.0009424395,0.0005051211,0.0004360419,0.0002749279,0.0005616177,0.003419849],"category_scores_gemma":[0.000671705,0.0003094217,0.0006541973,0.0007337147,0.0003868592,0.000718997,0.0003074319,0.001129732,0.0006248787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002063162,"about_ca_system_score_gemma":0.0003785121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001001111,"about_ca_topic_score_gemma":0.001836371,"domain_scores_codex":[0.9995992,0.00006289709,0.00005202108,0.0001006785,0.0001161705,0.00006899689],"domain_scores_gemma":[0.9995397,0.000146633,0.0001076438,0.00003082657,0.0001100642,0.00006511395],"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":[0.002296126,0.0009093243,0.001257455,0.001147229,0.0001053135,0.0002273712,0.0003162277,0.0003608387,0.9783247,0.0001532939,0.0004946688,0.0144075],"study_design_scores_gemma":[0.00008918062,0.003970662,0.01153837,0.0001222518,0.0002584874,0.0002553337,0.0002308918,0.0006206979,0.9765785,0.0001504404,0.006113111,0.00007214336],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9657254,0.02256525,0.002853621,0.0004043967,0.0004126229,0.000232636,0.001288193,0.0001136812,0.006404313],"genre_scores_gemma":[0.9758413,0.01004836,0.006341329,0.0004262514,0.0001878025,0.0002713916,0.001186105,0.00004247591,0.005654995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003419849,"threshold_uncertainty_score":0.01144052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08500861491814869,"score_gpt":0.4019866957875635,"score_spread":0.3169780808694148,"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."}}