{"id":"W1855129715","doi":"10.13034/jsst.v8i2.63","title":"Using Aptamer-Nanoparticle Bioconjugates For Imaging and Treating Prostate Cancer","year":2015,"lang":"en","type":"article","venue":"Journal of Student Science and Technology","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Aptamer; Bioconjugation; Prostate cancer; Cancer research; Chemistry; Medicine; Cancer; Molecular biology; Biology; Internal medicine; Combinatorial chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002553261,0.0003696969,0.0002436123,0.0003107847,0.0001878838,0.0003217174,0.0002190415,0.0006062589,0.001172095],"category_scores_gemma":[0.0001366936,0.0002011821,0.0002615858,0.0002765465,0.0002472128,0.0003239611,0.0003281998,0.0004441345,0.0005599676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003435174,"about_ca_system_score_gemma":0.0002888525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006773034,"about_ca_topic_score_gemma":0.0009480059,"domain_scores_codex":[0.9998137,0.00003163147,0.000009818392,0.00004802761,0.00007411117,0.00002271629],"domain_scores_gemma":[0.999961,0.00001006714,0.000008837284,0.000003648135,0.000009332591,0.000007173365],"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":[0.00008574157,0.00006087222,0.0001867695,0.0004633665,0.00002003914,0.0001972424,0.00005467506,0.0007844084,0.9531718,0.001410052,0.000807744,0.04275725],"study_design_scores_gemma":[0.00002186177,0.0002706535,0.0007522069,0.00002304949,0.00003629197,0.0006611941,0.00001713089,0.00309428,0.9643605,0.0003509702,0.03039214,0.00001961692],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5457312,0.1412029,0.265722,0.002896737,0.001090772,0.0003796497,0.0002936447,0.001675644,0.04100733],"genre_scores_gemma":[0.8324283,0.04057031,0.1022631,0.001496392,0.0001565133,0.0002677689,0.0003564739,0.0001352375,0.022326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001172095,"threshold_uncertainty_score":0.003921032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02334972133352202,"score_gpt":0.3598737555105321,"score_spread":0.3365240341770101,"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."}}