{"id":"W2100285669","doi":"10.18632/oncotarget.1757","title":"Spherical nucleic acids for precision medicine","year":2013,"lang":"en","type":"editorial","venue":"Oncotarget","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"RNA interference; Nucleic acid; Small interfering RNA; Oligonucleotide; Computational biology; Nuclease; Cancer; Transfection; Biology; RNA; DNA; Cancer research; Gene; Genetics","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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0003050138,0.000405916,0.0005694787,0.0000547483,0.0001032409,0.00002849962,0.0003768656,0.001368294,0.00003409807],"category_scores_gemma":[0.001249697,0.0003044898,0.0002634125,0.0001038585,0.0001785958,0.000003523514,0.0001483948,0.000310076,0.0000185272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005048079,"about_ca_system_score_gemma":0.0001246733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002616645,"about_ca_topic_score_gemma":0.00001400136,"domain_scores_codex":[0.9979787,0.00005835042,0.0004192972,0.0007639628,0.0004170671,0.0003626345],"domain_scores_gemma":[0.9983685,0.0001212477,0.0002666326,0.000647186,0.0004664591,0.0001299534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001039768,0.0000382722,0.00001380532,0.00003195907,0.00007566014,0.000001193498,0.000004373631,5.774792e-7,0.1071314,0.000003117459,0.8904107,0.002184943],"study_design_scores_gemma":[0.000456828,0.001000908,0.000007395154,0.00008459653,0.0001063234,0.00000135827,0.000009948858,0.0000272339,0.02898536,0.0003287836,0.9686132,0.0003780818],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.004434173,0.003435283,0.03483559,0.001061394,0.949689,0.001645548,0.0006420865,0.0002903299,0.003966649],"genre_scores_gemma":[0.001762117,0.001537991,0.05048275,0.0002245394,0.9251647,0.00009425386,0.006293307,0.0001219967,0.01431837],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.07820245,"threshold_uncertainty_score":0.9999407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007956839203619715,"score_gpt":0.3004229324552514,"score_spread":0.2924660932516317,"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."}}