{"id":"W2165551720","doi":"10.1158/1535-7163.mct-14-0166","title":"Mechanism and Efficacy of Sub–50-nm Tenfibgen Nanocapsules for Cancer Cell–Directed Delivery of Anti-CK2 RNAi to Primary and Metastatic Squamous Cell Carcinoma","year":2014,"lang":"en","type":"article","venue":"Molecular Cancer Therapeutics","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Immunovaccine (Canada)","funders":"National Center for Advancing Translational Sciences; National Institute of Diabetes and Digestive and Kidney Diseases; National Cancer Institute","keywords":"Nanocapsules; Cancer research; RNA interference; Basal cell; Cancer; Cell; Mechanism (biology); Chemistry; Biology; Medicine; Nanotechnology; Biochemistry; Internal medicine; Gene; Materials science; Nanoparticle; Genetics; RNA","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":[0.0001364696,0.0002545719,0.0003817893,0.00006210101,0.00005617598,0.00001639624,0.0001936409,0.0001250764,0.000006062647],"category_scores_gemma":[0.000009618745,0.0002418606,0.0001134433,0.00008145677,0.00009526365,0.000006795669,0.000110381,0.00005757365,3.514361e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002373325,"about_ca_system_score_gemma":0.0001296163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000363748,"about_ca_topic_score_gemma":0.0001280422,"domain_scores_codex":[0.9987378,0.00008239441,0.0003195411,0.0004251538,0.0001538454,0.0002812963],"domain_scores_gemma":[0.9991131,0.00003710986,0.0001780161,0.0003297447,0.0002448118,0.00009716289],"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":[0.000236849,0.0001000609,0.0007543377,0.0002866767,0.0001214776,0.000001231062,0.0001916892,0.0001145574,0.9919157,0.00004033031,0.00006880114,0.006168315],"study_design_scores_gemma":[0.001454191,0.0008961688,0.00254728,0.00003090799,0.0003133005,0.000003120046,0.00007367844,0.0003976907,0.9924147,0.00008596653,0.001502387,0.000280568],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9745561,0.01826737,0.006276203,0.00006992029,0.000114204,0.0004799486,0.0001585568,0.00000942491,0.00006829646],"genre_scores_gemma":[0.9947261,0.002403704,0.001684332,0.0009071581,0.00004692035,0.00007674842,0.00004303073,0.00004908179,0.00006298379],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02016996,"threshold_uncertainty_score":0.986279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01414097996320228,"score_gpt":0.2490576187037606,"score_spread":0.2349166387405583,"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."}}