{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000303478,0.00008140695,0.0001728606,0.00003659285,0.00008935135,0.00002909954,0.00007312165,0.00006442585,0.0001232469],"category_scores_gemma":[0.0001078049,0.00007311341,0.0000610842,0.00002179537,0.0000922496,0.0001625558,0.0000292608,0.00007323486,0.000005206162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001743934,"about_ca_system_score_gemma":0.00002768713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003448729,"about_ca_topic_score_gemma":0.000005127016,"domain_scores_codex":[0.9995105,0.0000116093,0.0001201039,0.0001418256,0.0001227706,0.00009320597],"domain_scores_gemma":[0.9994133,0.00002992674,0.0001709315,0.0002893641,0.00005399901,0.00004254775],"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":[0.0001434333,0.0001040185,0.002571188,0.00001927792,0.00006960693,0.00001044804,0.00007913712,0.00004974164,0.9931309,0.0001815505,0.0001730445,0.003467663],"study_design_scores_gemma":[0.0006706459,0.00006419889,0.09328988,0.0001381032,0.00009068413,0.00000529559,0.0001675504,0.002684548,0.9020169,0.0005783986,0.0001922917,0.000101518],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.968388,0.0001758385,0.01936925,0.000504434,0.0001020353,0.0001362655,0.00005722747,0.00002694154,0.01124005],"genre_scores_gemma":[0.9925457,0.00005666408,0.006952937,0.00005426512,0.0001157577,0.000005259509,0.00004501515,0.00001189443,0.0002124793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09111401,"threshold_uncertainty_score":0.2981478,"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."}}