{"id":"W4224989006","doi":"10.3389/frym.2022.716531","title":"Getting the “Good Stuff” Out of Berry Leaves","year":2022,"lang":"en","type":"article","venue":"Frontiers for Young Minds","topic":"Phytochemicals and Antioxidant Activities","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Berry; Traditional medicine; Botany; Horticulture; Biology; Medicine","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":[0.0002413426,0.00009860467,0.0002518489,0.00005514786,0.0002175164,0.00001068097,0.0001350896,0.00003081957,0.00003547216],"category_scores_gemma":[0.00005375101,0.00007432199,0.0001813127,0.00007901614,0.00009717333,0.00004891817,0.00007469105,0.0001749524,6.820462e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004696624,"about_ca_system_score_gemma":0.00005660965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009188247,"about_ca_topic_score_gemma":0.00000151511,"domain_scores_codex":[0.9991811,0.00002154389,0.0001883487,0.000154411,0.0002430821,0.0002114944],"domain_scores_gemma":[0.9995708,0.00004732302,0.000115492,0.0001932376,0.00003740919,0.00003575623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009899555,0.0008695396,0.09889859,0.0003715916,0.0009133497,0.00002048852,0.01393849,0.00001945149,0.442515,0.001369138,0.4185219,0.02157251],"study_design_scores_gemma":[0.007148914,0.002008462,0.02854485,0.0001916825,0.001060361,0.0001523724,0.06345498,0.002431006,0.4162372,0.00566957,0.4722838,0.0008167549],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850222,0.002026882,0.001932658,0.001611901,0.001283871,0.0005114142,0.000110792,0.00003376553,0.007466552],"genre_scores_gemma":[0.9897363,0.00001085097,0.001496178,0.0001526262,0.0002302867,0.0001075037,0.00002570705,0.00002095458,0.008219657],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07035374,"threshold_uncertainty_score":0.3030763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0152013640209211,"score_gpt":0.2554698698083388,"score_spread":0.2402685057874177,"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."}}