{"id":"W3121504867","doi":"10.1016/j.pdpdt.2021.102186","title":"Chlorin e6-EGF conjugated gold nanoparticles as a nanomedicine based therapeutic agent for triple negative breast cancer","year":2021,"lang":"en","type":"article","venue":"Photodiagnosis and Photodynamic Therapy","topic":"Nanoplatforms for cancer theranostics","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Photodynamic therapy; Cancer cell; Triple-negative breast cancer; Nanomedicine; Cancer research; Cancer; Colloidal gold; Breast cancer; Chemistry; Viability assay; Apoptosis; Materials science; Biophysics; Medicine; Nanotechnology; Nanoparticle; Biology; Internal medicine; Biochemistry","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":[0.00008367952,0.0001566113,0.0001126804,0.0001185656,0.00009911293,0.000118423,0.0001385156,0.0002424031,0.0004537295],"category_scores_gemma":[0.00006142912,0.00008266963,0.0000951047,0.00007090498,0.00009397225,0.0001515269,0.0001561489,0.0002181855,0.0001286439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001823967,"about_ca_system_score_gemma":0.0001217924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006127806,"about_ca_topic_score_gemma":0.0008504114,"domain_scores_codex":[0.9999608,0.000007503281,0.000002302243,0.000009106702,0.00001115007,0.000009107345],"domain_scores_gemma":[0.9999808,0.000003896934,0.000004089642,0.000001574513,0.000004608978,0.000004977233],"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":[0.000103181,0.00002123301,0.00006103534,0.00003640053,0.000003044276,0.00003997599,0.00001109443,0.000180062,0.9961072,0.00008081443,0.00007937659,0.003276538],"study_design_scores_gemma":[0.00001265588,0.0001820787,0.0005317319,0.000002523309,0.00001022483,0.0001296707,0.000007799075,0.001411424,0.9954071,0.00001787504,0.002283487,0.000003438891],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868863,0.003368134,0.00561991,0.0002067498,0.00004849664,0.00003712669,0.00006922769,0.00007928158,0.003684966],"genre_scores_gemma":[0.9916822,0.001095082,0.003643014,0.00009010649,0.000007815723,0.00001763569,0.00005096326,0.00001439059,0.003398839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006127806,"threshold_uncertainty_score":0.001517892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01539936245550333,"score_gpt":0.2523469309619214,"score_spread":0.2369475685064181,"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."}}