{"id":"W3027476149","doi":"10.1186/s11671-020-03340-x","title":"Targeted Gene Silencing BRAF Synergized Photothermal Effect Inhibits Hepatoma Cell Growth Using New GAL-GNR-siBRAF Nanosystem","year":2020,"lang":"en","type":"article","venue":"Nanoscale Research Letters","topic":"Nanoplatforms for cancer theranostics","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Institute of Cancer Research; Natural Science Foundation of Jiangxi Province; National Natural Science Foundation of China","keywords":"Gene knockdown; Gene silencing; Cancer research; Photothermal therapy; Liver cancer; Asialoglycoprotein receptor; Kinome; Nanocarriers; MAPK/ERK pathway; Targeted therapy; Cancer cell; Cancer; Chemistry; Kinase; Biology; Hepatocellular carcinoma; Materials science; Cell biology; Nanotechnology; Apoptosis; Gene; Hepatocyte; Biochemistry; Drug delivery; In vitro","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"],"consensus_categories":[],"category_scores_codex":[0.0007846021,0.0006173258,0.0007704541,0.0004409201,0.0003386188,0.000234489,0.0007910313,0.0003443697,0.0001653597],"category_scores_gemma":[0.0002089551,0.0006091048,0.0003001184,0.001711711,0.000143174,0.0005757496,0.0002280921,0.001222317,0.0002943164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007863375,"about_ca_system_score_gemma":0.0002344345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004239694,"about_ca_topic_score_gemma":0.00001394385,"domain_scores_codex":[0.9948102,0.0003444433,0.0007019933,0.0007641424,0.001607927,0.00177129],"domain_scores_gemma":[0.997767,0.0005307246,0.00009688537,0.0005472154,0.0001457158,0.0009124924],"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":[0.0001961381,0.00001958014,0.001040103,0.0008914297,0.0001147157,0.000245116,0.000708536,0.003662676,0.9861895,0.000004156763,0.006532676,0.0003953519],"study_design_scores_gemma":[0.002623509,0.0003078381,0.00008841403,0.0002514129,0.00003786969,0.00002426702,0.00003663601,0.04484966,0.9505413,0.00000852319,0.0006165563,0.0006140581],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893481,0.00163209,0.005467469,0.0005032063,0.000641904,0.001206293,0.00005528052,0.0008066643,0.0003390021],"genre_scores_gemma":[0.9961422,0.00009026765,0.001741429,0.0006584172,0.0008942884,0.00005274462,0.00002811793,0.0003301818,0.00006232266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04118699,"threshold_uncertainty_score":0.9996361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02921059854682932,"score_gpt":0.2538619121432051,"score_spread":0.2246513135963758,"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."}}