{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003790321,0.0005025807,0.0005658705,0.000335106,0.0002507931,0.000715778,0.0004961525,0.0008036688,0.0006101656],"category_scores_gemma":[0.00056188,0.0002914512,0.0009902394,0.0004069044,0.0001850399,0.0005629996,0.0001687377,0.0003547736,0.0002787306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009889501,"about_ca_system_score_gemma":0.0007854922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01398194,"about_ca_topic_score_gemma":0.008330888,"domain_scores_codex":[0.9998771,0.00002712241,0.00001129888,0.00003225022,0.00003284859,0.0000192424],"domain_scores_gemma":[0.9997913,0.0001378662,0.00002416172,0.00000871697,0.00003234712,0.000005558828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001578237,0.0001029807,0.002285414,0.0005206269,0.00006693929,0.0001598298,0.00009528356,0.9277184,0.05801079,0.002137948,0.000258584,0.008485428],"study_design_scores_gemma":[0.00000616236,0.00004369848,0.00035268,0.000004254634,0.00001272806,0.0000154847,0.00001191193,0.9860642,0.01294531,0.0002418283,0.0002936615,0.000008107053],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7810639,0.001674903,0.2100566,0.0003390929,0.00004051746,0.0002064798,0.0007630649,0.0004279017,0.005427578],"genre_scores_gemma":[0.9825561,0.001026666,0.01254583,0.000028991,0.000004521322,0.0001485821,0.0002847179,0.00003309184,0.003371451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01398194,"threshold_uncertainty_score":0.0278011,"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."}}