{"id":"W4320493338","doi":"10.3390/ijms24043677","title":"Role of a Mixture of Polyphenol Compounds Released after Blueberry Fermentation in Chemoprevention of Mammary Carcinoma: In Vivo Involvement of miR-145","year":2023,"lang":"en","type":"article","venue":"International Journal of Molecular Sciences","topic":"Phytochemicals and Antioxidant Activities","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; University of Ottawa","keywords":"Gallic acid; Phytochemical; Carcinogenesis; Cancer; Epigenetics; Chemistry; Cell growth; Protocatechuic acid; Cancer research; Biochemistry; Apoptosis; In vivo; Polyphenol; microRNA; Biology; Pharmacology; Antioxidant; Biotechnology","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":[0.0001898703,0.0003768203,0.0003911233,0.0002633091,0.0001488697,0.0002764574,0.0001388633,0.0002749195,0.00102106],"category_scores_gemma":[0.0001165419,0.0001849744,0.0003140886,0.0001567995,0.0001705884,0.0002555477,0.0001250633,0.0005026049,0.0001637187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001765767,"about_ca_system_score_gemma":0.0002096209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004381811,"about_ca_topic_score_gemma":0.000922004,"domain_scores_codex":[0.9998546,0.00003200029,0.000009319539,0.00003785267,0.00002864565,0.00003760412],"domain_scores_gemma":[0.9999161,0.0000140668,0.00002107418,0.00001042639,0.00001077584,0.00002757329],"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":[0.0006813101,0.0001242313,0.0001536087,0.00002665676,0.00001134162,0.00001462316,0.00001249209,0.00002361674,0.9979138,0.00001340268,0.00001352702,0.001011494],"study_design_scores_gemma":[0.0000313155,0.001327754,0.004585291,0.000003720987,0.00003683088,0.00004645185,0.00002329479,0.0005565275,0.9926898,0.00001546654,0.0006799583,0.000003587103],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964817,0.001537297,0.001176835,0.00007025037,0.00003576426,0.00003332115,0.0002016549,0.00004168275,0.0004216184],"genre_scores_gemma":[0.9942406,0.0009956387,0.002021196,0.00005945006,0.00001504421,0.0000773209,0.0003687188,0.00002821378,0.002193897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00102106,"threshold_uncertainty_score":0.003415763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01066752094960297,"score_gpt":0.2749027997037848,"score_spread":0.2642352787541818,"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."}}