{"id":"W2980945138","doi":"10.1039/c9nr06512a","title":"Antibody-targeting of ultra-small nanoparticles enhances imaging sensitivity and enables longitudinal tracking of multiple myeloma","year":2019,"lang":"en","type":"article","venue":"Nanoscale","topic":"Multiple Myeloma Research and Treatments","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Philippe Foundation; National Cancer Institute; Dana-Farber Cancer Institute; Multiple Myeloma Research Foundation","keywords":"Multiple myeloma; Antibody; Sensitivity (control systems); Tracking (education); Nanoparticle; Materials science; Nanotechnology; Cancer research; Medicine; Immunology; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002731073,0.0001869374,0.0001843956,0.0001089896,0.0001033607,0.0002632822,0.0002431726,0.0004508742,0.0004189167],"category_scores_gemma":[0.0002602291,0.0001419766,0.0001586967,0.00007505564,0.0002448063,0.0002888294,0.0002338538,0.0003744055,0.0001259449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002977443,"about_ca_system_score_gemma":0.0001702079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005528908,"about_ca_topic_score_gemma":0.0009612486,"domain_scores_codex":[0.9998779,0.00002506648,0.000006541128,0.00003779674,0.00003172262,0.00002092584],"domain_scores_gemma":[0.999872,0.00005032219,0.00003185801,0.000009702033,0.00002208723,0.00001411919],"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":[0.00002801327,0.00001591585,0.00008466037,0.00003854885,0.000003204075,0.00001849779,0.00001493185,0.0001824048,0.9973748,0.0001547024,0.00005614418,0.002028167],"study_design_scores_gemma":[0.000007516509,0.0001710135,0.0007542918,0.000004313685,0.00001150683,0.000084639,0.000009179063,0.002891839,0.9938088,0.00005202412,0.002199734,0.000005149813],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9462547,0.002962749,0.04764042,0.0003882856,0.00005573613,0.00006607471,0.00008538594,0.0002329928,0.00231372],"genre_scores_gemma":[0.9723671,0.0008624402,0.02489865,0.000207909,0.00001254114,0.00004257894,0.00005812518,0.00002257993,0.001528057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005528908,"threshold_uncertainty_score":0.002160251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02095594749271278,"score_gpt":0.2915857961377416,"score_spread":0.2706298486450288,"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."}}