{"id":"W4392429324","doi":"10.1186/s12860-024-00501-z","title":"Optimizing combination therapy in prostate cancer: mechanistic insights into the synergistic effects of Paclitaxel and Sulforaphane-induced apoptosis","year":2024,"lang":"en","type":"article","venue":"BMC Molecular and Cell Biology","topic":"Genomics, phytochemicals, and oxidative stress","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Science and Technology Development Fund","keywords":"LNCaP; Sulforaphane; Apoptosis; Paclitaxel; Viability assay; Prostate cancer; Combination therapy; Cancer research; Flow cytometry; Cell growth; Cell cycle; Chemistry; MTT assay; Cancer; Pharmacology; Biology; Molecular biology; Medicine; Internal medicine; Biochemistry","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":[0.0001042172,0.0001649842,0.0001877738,0.00006768012,0.00004713936,0.00002024138,0.00009929817,0.0001250304,0.000001284714],"category_scores_gemma":[0.00003336152,0.0001215444,0.00005058588,0.00009614591,0.0001222253,0.000003356355,0.00008190606,0.00009114556,3.401524e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001009551,"about_ca_system_score_gemma":0.00004872032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001535822,"about_ca_topic_score_gemma":0.00005456527,"domain_scores_codex":[0.9990773,0.0001437811,0.0001873527,0.0003777787,0.00004334424,0.0001704595],"domain_scores_gemma":[0.9996281,0.00006594008,0.00005799134,0.0001664539,0.00003958257,0.00004193285],"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":[0.00006423965,0.00003580235,0.0002453051,0.0002239156,0.00003928315,0.000002554457,0.0006303049,0.00001917086,0.9947752,0.001433788,0.000006157136,0.002524307],"study_design_scores_gemma":[0.0006430384,0.0004749508,0.0001350968,0.00004464703,0.00002498488,9.278737e-7,0.0001703477,0.0002987664,0.9943819,0.003451668,0.0002258518,0.0001478262],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9661741,0.03054807,0.002656481,0.00005143665,0.0001383123,0.000354682,0.000005828991,0.000006745552,0.00006430719],"genre_scores_gemma":[0.9932278,0.006263954,0.0002220763,0.0000958145,0.00002640322,0.00007301167,0.00005712606,0.00001701629,0.00001674792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02705372,"threshold_uncertainty_score":0.4956438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006621585923834922,"score_gpt":0.2410780119754057,"score_spread":0.2344564260515708,"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."}}