{"id":"W3114882389","doi":"10.1016/j.jphotobiol.2020.112110","title":"Multifunctional nanoparticles as theranostic agents for therapy and imaging of breast cancer","year":2020,"lang":"en","type":"article","venue":"Journal of Photochemistry and Photobiology B Biology","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University; University of Toronto; St. Michael's Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Terry Fox Research Institute; Canada Foundation for Innovation","keywords":"Photoacoustic imaging in biomedicine; In vivo; Vaporization; Nanotechnology; Fluorescence-lifetime imaging microscopy; Drug delivery; Nanoparticle; Materials science; Imaging agent; Cancer cell; Photothermal therapy; Cancer; Breast cancer; Biomedical engineering; Fluorescence; Cancer research; Chemistry; Medicine; Internal medicine","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":[0.000113594,0.0001299411,0.0002814521,0.00002327188,0.00003913067,0.000005883708,0.00008485043,0.00008235306,0.0001124998],"category_scores_gemma":[0.00005024007,0.0001025696,0.00005863172,0.00004071511,0.0001915848,0.00004196902,0.00001450016,0.0001429228,2.278119e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001149154,"about_ca_system_score_gemma":0.00004109024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001103481,"about_ca_topic_score_gemma":2.601438e-7,"domain_scores_codex":[0.9993626,0.00002031113,0.0002980539,0.0001207785,0.0000303155,0.0001678964],"domain_scores_gemma":[0.9994498,0.0001980386,0.000128541,0.0000449831,0.00008424134,0.00009443215],"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":[0.0003124397,0.0000167713,0.01312939,0.00007353917,0.000138659,0.000002241959,0.0002188899,0.00008107317,0.9835118,0.00001371263,0.0001983506,0.002303116],"study_design_scores_gemma":[0.002604479,0.000208704,0.008076824,0.0000624857,0.00007085707,0.0006359395,0.0002738337,0.008975264,0.9758118,0.000488604,0.00259087,0.0002002877],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952847,0.003313268,0.0005715787,0.0003244518,0.0001621638,0.0001299026,0.0001588331,0.00001262199,0.00004249646],"genre_scores_gemma":[0.9975203,0.001640269,0.0002170715,0.0004360606,0.0001489172,0.0000155275,0.00000613167,0.00001105649,0.000004609455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00889419,"threshold_uncertainty_score":0.4182665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01613769334018232,"score_gpt":0.2539426474424453,"score_spread":0.2378049541022629,"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."}}