{"id":"W2766197375","doi":"10.1007/s11307-017-1140-4","title":"LyP-1 Conjugated Nanoparticles for Magnetic Resonance Imaging of Triple Negative Breast Cancer","year":2017,"lang":"en","type":"article","venue":"Molecular Imaging and Biology","topic":"Breast Cancer Treatment Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta; University of Calgary; National Research Council Canada; University of Ottawa; Natural Sciences and Engineering Research Council of Canada","funders":"Alberta Innovates Bio Solutions; Alberta Innovates - Health Solutions","keywords":"In vivo; Breast cancer; Chemistry; MRI contrast agent; Conjugated system; In vitro; Triple-negative breast cancer; Magnetic resonance imaging; Iron oxide nanoparticles; Peptide; Cancer research; Cancer; Medicine; Nanoparticle; Materials science; Internal medicine; Biology; Biochemistry; Nanotechnology","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":[0.00009314656,0.0001811451,0.000233718,0.00003080452,0.0002566335,0.00003106924,0.0001822297,0.00004742894,0.000006487735],"category_scores_gemma":[0.00009500136,0.0001584368,0.00007241603,0.00002785667,0.0006061716,0.000007248119,0.0001684432,0.00004050011,6.03109e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001224188,"about_ca_system_score_gemma":0.00004614917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006539672,"about_ca_topic_score_gemma":0.00006923285,"domain_scores_codex":[0.999032,0.00004638577,0.0001786174,0.0004103119,0.00003910231,0.0002935923],"domain_scores_gemma":[0.9992826,0.00001736656,0.0001521372,0.0003484012,0.0001483797,0.0000511248],"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":[0.0002654155,0.00003633682,0.2200506,0.00001744846,0.00004570781,0.000003773366,0.00004744707,9.51014e-7,0.7212963,0.000146141,0.0004461271,0.05764372],"study_design_scores_gemma":[0.003541264,0.0001293814,0.3597871,0.00006477883,0.00009233473,0.00006396952,0.0001151299,0.0002428028,0.6293087,0.0009008404,0.005431475,0.0003222215],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9662496,0.02812637,0.0003500361,0.004034427,0.0002391096,0.0003040709,0.000511174,0.00001602122,0.0001691384],"genre_scores_gemma":[0.9981992,0.0004788993,0.0006201807,0.0004112208,0.00007722311,0.0001056199,0.00003324783,0.00002071947,0.00005374131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1397365,"threshold_uncertainty_score":0.6460865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01133424218539423,"score_gpt":0.2848575384712284,"score_spread":0.2735232962858341,"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."}}