{"id":"W1945005509","doi":"10.1111/j.1745-4530.2011.00660.x","title":"MODELING SOLID–LIQUID EXTRACTION KINETICS OF <i>TRANS</i>‐RESVERATROL AND <i>TRANS</i>‐ε‐VINIFERIN FROM GRAPE CANE","year":2011,"lang":"en","type":"article","venue":"Journal of Food Process Engineering","topic":"Phytochemicals and Antioxidant Activities","field":"Medicine","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Gompertz function; Goodness of fit; Extraction (chemistry); Mathematics; Process (computing); Statistics; Biological system; Coefficient of determination; Computer science; Chemistry; Process engineering; Chromatography; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009697909,0.0001707939,0.0004494388,0.0001499613,0.00001866044,0.00001052328,0.00008149684,0.00009503544,0.00001607341],"category_scores_gemma":[0.00003511026,0.0001524281,0.0001156139,0.0001089181,0.00002498225,0.000269862,0.000007846344,0.0003351092,6.362386e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001506321,"about_ca_system_score_gemma":0.00003774192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001412363,"about_ca_topic_score_gemma":0.000003452733,"domain_scores_codex":[0.9989062,0.000006911408,0.0005202727,0.0001199702,0.0002609617,0.0001856927],"domain_scores_gemma":[0.9993764,0.00003227676,0.000165025,0.00008967808,0.0001961035,0.0001405258],"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":[0.0005894423,0.000138047,0.00008048017,0.0004355813,0.0001868627,0.00002297711,0.001086099,0.005101155,0.9919931,0.000008516011,0.000001784899,0.0003559538],"study_design_scores_gemma":[0.001038836,0.00129052,0.0003001146,0.0007018601,0.0002733408,0.0002743955,0.0001664236,0.0124875,0.9831576,0.000118499,0.00004076006,0.0001501736],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9216722,0.002577679,0.07537898,0.00004969063,0.0001244574,0.00007827647,0.00001393836,0.00002004567,0.00008475265],"genre_scores_gemma":[0.9961101,0.0006066139,0.002995965,0.00002004471,0.0002307471,0.000002791303,0.000001832932,0.00002980388,0.000002049562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07443797,"threshold_uncertainty_score":0.6215837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02076067625134462,"score_gpt":0.2452090893304413,"score_spread":0.2244484130790967,"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."}}