{"id":"W3047161397","doi":"10.1007/s13402-020-00539-z","title":"[10]-Gingerol improves doxorubicin anticancer activity and decreases its side effects in triple negative breast cancer models","year":2020,"lang":"en","type":"article","venue":"Cellular Oncology","topic":"Ginger and Zingiberaceae research","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":41,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo; Université du Québec à Montréal","keywords":"Doxorubicin; Regimen; Medicine; Triple-negative breast cancer; Breast cancer; Cancer research; Apoptosis; Pharmacology; Cancer; Chemotherapy; Metastasis; Internal medicine; Chemistry","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005922882,0.0003320362,0.000673895,0.0001617081,0.0002042406,0.00002926095,0.0002593194,0.0004725932,0.001183575],"category_scores_gemma":[0.0002506499,0.0003178641,0.00009403238,0.000416902,0.0003240368,0.0002834157,0.0002396208,0.001214162,0.0001154784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002624917,"about_ca_system_score_gemma":0.000453372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004047065,"about_ca_topic_score_gemma":0.0001619284,"domain_scores_codex":[0.9968422,0.001161658,0.0003117296,0.0006674841,0.0001878591,0.0008290905],"domain_scores_gemma":[0.997529,0.001470846,0.0001394025,0.0001503376,0.000123086,0.0005873105],"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":[0.003631337,0.0005372697,0.002837857,0.0003800762,0.0002322717,0.0004619585,0.002157554,0.0009729953,0.8807372,0.000226335,0.001001512,0.1068236],"study_design_scores_gemma":[0.009846823,0.001144955,0.0137969,0.00007328556,0.000310877,0.00005676788,0.0002053266,0.2316948,0.7320758,0.0008281294,0.009240581,0.0007257584],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840894,0.00427403,0.0002088178,0.006153231,0.0003576656,0.001078487,0.00006290418,0.00008545749,0.003689982],"genre_scores_gemma":[0.9954983,0.000939624,0.00008297595,0.002089232,0.0003608888,0.0002429423,0.000008391491,0.0000417998,0.0007358503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2307219,"threshold_uncertainty_score":0.9999273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1194650710384517,"score_gpt":0.4365551428018732,"score_spread":0.3170900717634215,"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."}}