{"id":"W4321378123","doi":"10.3390/foods12040893","title":"Green Solvents in the Extraction of Bioactive Compounds from Dried Apple Cultivars","year":2023,"lang":"en","type":"article","venue":"Foods","topic":"Phytochemicals and Antioxidant Activities","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Faculté de pharmacie, Université de Montréal; European Regional Development Fund; Univerzita Karlova v Praze","keywords":"Chemistry; Extraction (chemistry); Chlorogenic acid; Chromatography; Catechin; Solvent; Cultivar; Flavonoid; Polyphenol; Botany; Organic chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.001941674,0.0007252545,0.0007378265,0.000889426,0.0002695833,0.0006749044,0.0003424044,0.0004230735,0.0005631343],"category_scores_gemma":[0.001075785,0.0003146665,0.0005602759,0.001008511,0.00050755,0.0004355664,0.0005579875,0.0005273568,0.0002584506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004071982,"about_ca_system_score_gemma":0.000486571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000679703,"about_ca_topic_score_gemma":0.002069868,"domain_scores_codex":[0.997714,0.0006393384,0.0002116883,0.0005808283,0.0007392172,0.0001148597],"domain_scores_gemma":[0.9994394,0.0001922041,0.0001351674,0.00006528337,0.0001381284,0.0000297427],"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":[0.0003674368,0.00006120467,0.001502878,0.0004486158,0.00008271393,0.0000836804,0.00009817221,0.0004858174,0.9735773,0.0001632044,0.00009847922,0.02303033],"study_design_scores_gemma":[0.00004092879,0.0008457708,0.02621073,0.00006706705,0.0002676059,0.0003808594,0.00009603916,0.002861415,0.9574253,0.0003276007,0.01142488,0.00005170076],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8805591,0.01661132,0.09807339,0.0001633077,0.000166475,0.0004635167,0.0009686505,0.0003321441,0.002661939],"genre_scores_gemma":[0.8120263,0.006789173,0.1740076,0.0002813516,0.00005838272,0.0006279853,0.001529187,0.0001565538,0.004523489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001941674,"threshold_uncertainty_score":0.01026869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03928457818429856,"score_gpt":0.3217288306220448,"score_spread":0.2824442524377462,"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."}}