{"id":"W2771714120","doi":"10.3390/molecules22122118","title":"Optimization of Bioactive Polyphenols Extraction from Picea Mariana Bark","year":2017,"lang":"en","type":"article","venue":"Molecules","topic":"Phytochemicals and Antioxidant Activities","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Université Laval","keywords":"Polyphenol; Resveratrol; Phytochemical; Chemistry; Bark (sound); Extraction (chemistry); Antioxidant; Phenols; Glucoside; Chromatography; Botany; Organic chemistry; Biochemistry; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001460943,0.0007475801,0.0004451164,0.0007478879,0.0002378785,0.0003571289,0.0001496051,0.0002021001,0.000773529],"category_scores_gemma":[0.0002058146,0.0001816961,0.0003140928,0.000398041,0.0001596592,0.000295661,0.0002314204,0.0003498826,0.0003287908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000107833,"about_ca_system_score_gemma":0.0001783004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004097758,"about_ca_topic_score_gemma":0.001259333,"domain_scores_codex":[0.9998871,0.00002276846,0.00001197417,0.0000277028,0.00003230767,0.00001815665],"domain_scores_gemma":[0.9999555,0.00001144959,0.00001035781,0.000004818305,0.00001123557,0.000006601486],"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":[0.00003940165,0.0000133158,0.00009062228,0.00008812905,0.000008026381,0.00003357027,0.00001245979,0.00008710772,0.9966999,0.00001583316,0.00001731048,0.002894322],"study_design_scores_gemma":[0.000006612656,0.0001412553,0.003294621,0.00001519504,0.00004066636,0.0000777238,0.00002444273,0.0004970608,0.9932556,0.00003199693,0.002607066,0.000007669403],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9752848,0.007037103,0.01353052,0.00009179809,0.00003917544,0.0001754587,0.000475708,0.000195002,0.00317044],"genre_scores_gemma":[0.9733304,0.004091577,0.01806387,0.00009189538,0.00002486181,0.0001287144,0.0007795706,0.00007532195,0.003413786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000773529,"threshold_uncertainty_score":0.002587676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01751361518881268,"score_gpt":0.2890066937936467,"score_spread":0.2714930786048341,"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."}}