{"id":"W4327564973","doi":"10.1021/acsomega.2c07762","title":"Quantitative Evaluation of a Multimodal Aptamer-Targeted Long-Circulating Polymer for Tumor Targeting","year":2023,"lang":"en","type":"article","venue":"ACS Omega","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Lundbeckfonden","keywords":"Aptamer; In vivo; Nanocarriers; Nanoprobe; Chemistry; Biophysics; Cancer research; Nanotechnology; Materials science; Molecular biology; Biology; Drug delivery; Nanoparticle","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":[],"consensus_categories":[],"category_scores_codex":[0.0007962245,0.0001329964,0.0001793241,0.0001018649,0.000094377,0.00001046161,0.00009847338,0.00008439514,6.484074e-7],"category_scores_gemma":[0.0008073617,0.000122602,0.000129873,0.0003092098,0.00006945591,0.000006190897,0.00005611765,0.00004987,0.000002201146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001664042,"about_ca_system_score_gemma":0.00005817021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002674347,"about_ca_topic_score_gemma":0.00001450531,"domain_scores_codex":[0.9988546,0.00008495722,0.0002774694,0.0003161336,0.0002393227,0.0002275113],"domain_scores_gemma":[0.9990588,0.00005177975,0.000209888,0.0002020224,0.0004430201,0.00003448121],"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":[0.00005831918,0.00002587046,0.000740528,0.00001665518,0.00008421769,8.497803e-7,0.00005653893,0.0001724302,0.9928218,0.00003340485,0.0003496401,0.005639809],"study_design_scores_gemma":[0.0004376507,0.0001891794,0.0009675374,0.00002365817,0.00007106853,0.000001823078,0.0003006655,0.02016992,0.977321,0.0001625554,0.0001856111,0.0001692929],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939877,0.0007110821,0.004704088,0.00007852003,0.0000576014,0.000301699,0.00004222802,0.00005801293,0.0000590437],"genre_scores_gemma":[0.9884226,0.00002973765,0.01071916,0.00006901356,0.0000984849,0.00004256799,0.000518422,0.00002415634,0.00007588977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01999748,"threshold_uncertainty_score":0.4999564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03397331014369831,"score_gpt":0.3491774504507839,"score_spread":0.3152041403070856,"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."}}