{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001000502,0.00006600843,0.0001605131,0.0000636664,0.00002503334,0.000005235252,0.00006528093,0.00004890208,0.00002168238],"category_scores_gemma":[0.00002180988,0.00004710572,0.00005963387,0.0002613703,0.00005464392,0.00006268551,0.0000203437,0.000127789,0.00001455244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000182816,"about_ca_system_score_gemma":0.00001790638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005963371,"about_ca_topic_score_gemma":0.00002998267,"domain_scores_codex":[0.9994425,0.00002772027,0.0001289212,0.0001124842,0.0001729786,0.0001153632],"domain_scores_gemma":[0.9996352,0.0001383097,0.00005651434,0.0001313336,0.00001797739,0.00002068183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002092795,0.0002299139,0.01901664,0.00003338119,0.00005686485,0.00001196983,0.00197171,0.000001196278,0.9750151,0.00008475002,0.001918485,0.001450723],"study_design_scores_gemma":[0.001656725,0.0002666604,0.5498473,0.0001928666,0.00005834554,0.000009959491,0.00587019,0.0006720697,0.4339581,0.003528635,0.003806536,0.000132584],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964264,0.0000341538,0.00004199026,0.0005860069,0.000064497,0.0001593109,0.00005539961,0.00003098447,0.002601253],"genre_scores_gemma":[0.9994277,0.00002044475,0.00009775252,0.00006258151,0.000103669,0.00001936577,0.0001151205,0.000007744707,0.0001455937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5410569,"threshold_uncertainty_score":0.1920916,"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."}}