{"id":"W4387859702","doi":"10.3390/biom13101559","title":"Designing Nanomedicines for Breast Cancer Therapy","year":2023,"lang":"en","type":"article","venue":"Biomolecules","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Canadian Institutes of Health Research; Women and Children's Health Research Institute; Natural Sciences and Engineering Research Council of Canada; Mitacs; Alex's Lemonade Stand Foundation for Childhood Cancer","keywords":"Gene silencing; Survivin; Cytotoxicity; Small interfering RNA; MTT assay; Breast cancer; Chemistry; Cancer cell; Flow cytometry; Cancer; Molecular biology; Cancer research; Cell; Biology; Transfection; In vitro; Apoptosis; Gene; Biochemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.00008286406,0.0001039987,0.00008368289,0.00005383494,0.00006522425,0.00001661505,0.0001349207,0.0000709575,0.00002501422],"category_scores_gemma":[0.00001280566,0.00008538672,0.00007386994,0.0001151425,0.00006320507,0.000002053097,0.00003255859,0.00001803801,0.00002327481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004635905,"about_ca_system_score_gemma":0.00004518962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000333297,"about_ca_topic_score_gemma":0.00001670716,"domain_scores_codex":[0.9993894,0.00001480071,0.00009977105,0.0002271228,0.00006250231,0.0002064375],"domain_scores_gemma":[0.9996912,0.000008799308,0.00003213838,0.0001473879,0.00007838628,0.00004202497],"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":[0.00009167507,0.00001103247,0.0008289124,0.000007873134,0.0000440413,0.000001928125,0.00002593192,0.00001191745,0.9556367,0.00001639536,0.02242807,0.02089545],"study_design_scores_gemma":[0.0005381907,0.0002286623,0.006839612,0.00002489085,0.000008035753,0.000007469303,0.0001540644,0.00008014718,0.9593053,0.00005208195,0.03258879,0.0001727504],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992672,0.00210255,0.003222234,0.001146566,0.0003105903,0.0002103984,0.0001478382,0.00004590719,0.0001419129],"genre_scores_gemma":[0.9947943,0.002110441,0.0003305275,0.0006177495,0.0004744821,0.0001358496,0.0001292281,0.00002420881,0.001383178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0207227,"threshold_uncertainty_score":0.348197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02807079211422674,"score_gpt":0.3069580959403509,"score_spread":0.2788873038261241,"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."}}