{"id":"W4415115970","doi":"10.1021/acsfoodscitech.5c00610","title":"Bioactive Compounds of Indigenous Canadian Small Fruits: UHPLC-HRMS-Based Phytochemical Characterization, Mineral Composition and Their Antioxidant Activity","year":2025,"lang":"en","type":"article","venue":"ACS Food Science & Technology","topic":"Phytochemicals and Antioxidant Activities","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Antioxidant; Phytochemical; Chemical composition; Composition (language); Indigenous","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001623985,0.0001964989,0.0004183378,0.001252942,0.0002669104,0.00003056294,0.0002642518,0.0002198197,0.000002698962],"category_scores_gemma":[0.00008165949,0.0001699951,0.00004866293,0.001854656,0.00185532,0.0001730471,0.00009091326,0.0002805672,6.842192e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002183006,"about_ca_system_score_gemma":0.0009921977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005715617,"about_ca_topic_score_gemma":0.0007680149,"domain_scores_codex":[0.9987345,0.00001701668,0.0002242527,0.0004308912,0.0001453769,0.0004479674],"domain_scores_gemma":[0.9991006,0.00004752534,0.0001379334,0.0003213125,0.0002648959,0.0001276925],"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":[0.00007559446,0.0001962885,0.01525842,0.00005077456,0.00003316169,0.000003209984,0.0001406041,3.774292e-7,0.9801539,0.0006150062,0.000005232092,0.003467442],"study_design_scores_gemma":[0.0005534466,0.0004240917,0.06082353,0.0001647819,0.00002796412,0.00003646308,0.0001751577,0.0001713628,0.9368755,0.0005018295,0.0001050113,0.0001408637],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952774,0.00009218457,0.0009999226,0.002588381,0.00007331849,0.0004171611,0.00009590573,0.00009508616,0.0003606542],"genre_scores_gemma":[0.9992974,0.0000175319,0.0002811226,0.0003088753,0.00001977133,0.0000293852,0.00002307745,0.000009284132,0.00001348783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04556512,"threshold_uncertainty_score":0.69322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01129060202422241,"score_gpt":0.2427079544092745,"score_spread":0.2314173523850521,"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."}}