{"id":"W3087035737","doi":"10.1016/j.actbio.2020.09.029","title":"PEG-PLGA nanospheres loaded with nanoscintillators and photosensitizers for radiation-activated photodynamic therapy","year":2020,"lang":"en","type":"article","venue":"Acta Biomaterialia","topic":"Nanoplatforms for cancer theranostics","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":false,"ca_institutions":"Precision Nanosystems (Canada); University of Alberta","funders":"Astellas Pharma; Canadian Urological Association","keywords":"Photodynamic therapy; Materials science; PLGA; Photosensitizer; Biomedical engineering; Nanoparticle; Nanotechnology; Medicine; Chemistry; Photochemistry; Organic chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001477167,0.0002675723,0.0002048037,0.0001587441,0.0001241005,0.0002130758,0.000171564,0.0003577121,0.00107205],"category_scores_gemma":[0.0001804181,0.000154094,0.0001961905,0.0001194476,0.000184671,0.0003600361,0.0002015867,0.0002758324,0.0002325105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003482108,"about_ca_system_score_gemma":0.0002286911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008971709,"about_ca_topic_score_gemma":0.001175634,"domain_scores_codex":[0.9999225,0.000007354099,0.000005295929,0.00002293327,0.00002084557,0.00002107657],"domain_scores_gemma":[0.999935,0.00001629145,0.00001685537,0.000007207059,0.00001131012,0.00001339063],"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":[0.00008569021,0.00001445977,0.00003613582,0.00003572222,0.000004174251,0.00002046772,0.00001598648,0.0001902132,0.9979917,0.00009618005,0.00004866666,0.001460702],"study_design_scores_gemma":[0.000008069459,0.00006713153,0.0004673403,0.000002428021,0.000009240384,0.0000278216,0.000006510456,0.0009996223,0.9974451,0.00002279566,0.0009396965,0.000004222116],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894543,0.001743359,0.006310682,0.00009605138,0.00005938636,0.00004660364,0.0001200752,0.000152055,0.0020176],"genre_scores_gemma":[0.9938655,0.0005960605,0.002876566,0.00004940646,0.000009533353,0.00003142062,0.00007819173,0.00003829566,0.002455124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00107205,"threshold_uncertainty_score":0.003586352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00945437933386167,"score_gpt":0.1981232538461331,"score_spread":0.1886688745122714,"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."}}