{"id":"W4313201902","doi":"10.1016/j.apmt.2022.101725","title":"Epigenetic reprogramming of cancer stem cells to tumor cells using ultrasmall gold nanoparticle","year":2022,"lang":"en","type":"article","venue":"Applied Materials Today","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University; St. Michael's Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; Tokyo Metropolitan University","keywords":"Reprogramming; Epigenetics; DNA methylation; Cancer stem cell; Cancer research; Biology; Cancer; Epigenetic therapy; Nanomedicine; Computational biology; Genetics; Cell; Nanotechnology; Materials science; Gene expression; Gene","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":[0.0001306161,0.0001362796,0.0000986892,0.0001104188,0.0001032292,0.0002765885,0.0001272687,0.0001994132,0.000942567],"category_scores_gemma":[0.0001141656,0.0001081538,0.0001575498,0.00007083645,0.0001864038,0.0001578406,0.0001785837,0.0002801706,0.000193131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002863898,"about_ca_system_score_gemma":0.0001262702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004558238,"about_ca_topic_score_gemma":0.001222672,"domain_scores_codex":[0.9999328,0.000007841852,0.000003917273,0.0000205697,0.00001991466,0.00001502256],"domain_scores_gemma":[0.9999514,0.00001221973,0.00001296141,0.00001080655,0.000006338216,0.000006304758],"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":[0.00001915509,0.000007705822,0.0001105184,0.00002272811,0.000003667689,0.00002620836,0.00003370587,0.0001235169,0.9965922,0.0004711713,0.00006488567,0.002524568],"study_design_scores_gemma":[0.000002776851,0.00002443483,0.0003888363,0.000001102511,0.000003359682,0.00002088609,0.00001189147,0.0004727913,0.9975351,0.00005037089,0.001486885,0.000001590345],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9796304,0.0009153696,0.01234748,0.000293634,0.0001051806,0.00004094329,0.0001752633,0.0002170078,0.006274673],"genre_scores_gemma":[0.9926574,0.0002718266,0.002459223,0.00008298345,0.000006359658,0.00001451631,0.00006195655,0.000029829,0.004415899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000942567,"threshold_uncertainty_score":0.003153145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01310513540822186,"score_gpt":0.2622399343501579,"score_spread":0.249134798941936,"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."}}