{"id":"W2144861706","doi":"10.1002/smll.201303842","title":"Nanoparticle‐Enabled, Image‐Guided Treatment Planning of Target Specific RNAi Therapeutics in an Orthotopic Prostate Cancer Model","year":2014,"lang":"en","type":"article","venue":"Small","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Small interfering RNA; RNA interference; In vivo; Fluorescence-lifetime imaging microscopy; Context (archaeology); Nanotechnology; Materials science; Fluorescence; Chemistry; RNA; Biology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000243341,0.0004751087,0.0002799738,0.0003412518,0.0001686471,0.000313349,0.0003990619,0.0004142437,0.0006680819],"category_scores_gemma":[0.00008056184,0.0002675343,0.0002266947,0.0001922854,0.0002547831,0.0001686814,0.0001837408,0.0005331747,0.0002877534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00053818,"about_ca_system_score_gemma":0.000946795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007281632,"about_ca_topic_score_gemma":0.007521212,"domain_scores_codex":[0.999891,0.00001384326,0.000005032398,0.00003049905,0.00003855084,0.00002114161],"domain_scores_gemma":[0.9999379,0.00001053263,0.00001983881,0.00001140499,0.000007675212,0.00001273511],"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":[0.0001038277,0.0001016933,0.0001331458,0.00005018648,0.000006793356,0.00009036901,0.00004520754,0.00786583,0.9881623,0.0003870726,0.0001761559,0.002877384],"study_design_scores_gemma":[0.0000193159,0.0003360002,0.0008272575,0.000004345529,0.00001502555,0.00009668642,0.00001783123,0.0232362,0.9734407,0.00004739246,0.001946977,0.00001231951],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8784088,0.001494951,0.1103242,0.0002080571,0.00008262753,0.0003490688,0.001032734,0.001185044,0.006914447],"genre_scores_gemma":[0.9355174,0.0008200507,0.05508292,0.00004848634,0.00001024097,0.0002240024,0.0004226327,0.0001043956,0.007769817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007281632,"threshold_uncertainty_score":0.0144785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0445010758771071,"score_gpt":0.2983823827907504,"score_spread":0.2538813069136432,"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."}}