{"id":"W4400076209","doi":"10.1002/adfm.202410077","title":"Sub 20 nm Upconversion Photosensitizers for Near‐Infrared Photodynamic Theranostics","year":2024,"lang":"en","type":"article","venue":"Advanced Functional Materials","topic":"Nanoplatforms for cancer theranostics","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"H2020 Marie Skłodowska-Curie Actions; Région Normandie; Université de Rouen; Centre National de la Recherche Scientifique; National Research Foundation of Korea; Agence Nationale de la Recherche; Canada Excellence Research Chairs, Government of Canada; Normandie Université; National Research Foundation; Ministry of Science and ICT, South Korea; European Regional Development Fund; European Commission; Università degli Studi di Padova; Indian National Science Academy","keywords":"Photodynamic therapy; Singlet oxygen; In vivo; Photon upconversion; Materials science; Viability assay; HeLa; Biophysics; Photosensitizer; Nanotechnology; Cytotoxicity; Photochemistry; Cell; Oxygen; Optoelectronics; In vitro; Chemistry; Luminescence; Biology; Biochemistry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001164351,0.000278532,0.0002704015,0.00009617816,0.0001210076,0.0001590925,0.00009562781,0.000140212,0.0004536265],"category_scores_gemma":[0.00003522624,0.0002725291,0.0001119735,0.0001684919,0.00005477985,0.0003486236,0.00001957697,0.0000999033,0.0002269792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002319568,"about_ca_system_score_gemma":0.00006353358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003030252,"about_ca_topic_score_gemma":0.000002782,"domain_scores_codex":[0.9988051,0.000009342616,0.0003318898,0.0002879645,0.0002052767,0.000360396],"domain_scores_gemma":[0.999355,0.0002466611,0.00003279449,0.0002106705,0.00007725279,0.00007763816],"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":[0.0002764559,0.000007722786,0.000001057511,0.0002886432,0.0001166036,0.000009998218,0.00005255825,0.01905111,0.9752101,0.0004118183,0.002825267,0.001748667],"study_design_scores_gemma":[0.0008070009,0.00008641207,0.00003509913,0.000127792,0.00005399368,0.00001765418,0.00002996792,0.01274692,0.9376059,0.005297737,0.04284592,0.0003456398],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9425114,0.0009586549,0.03689106,0.0000467002,0.01554596,0.0008728488,0.001266983,0.001214813,0.0006915454],"genre_scores_gemma":[0.99494,0.0002351003,0.002569005,0.0001690008,0.0004122385,0.0001119094,0.0006222707,0.0001538955,0.0007865549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05242859,"threshold_uncertainty_score":0.9999727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006788810644320936,"score_gpt":0.2040837198105267,"score_spread":0.1972949091662057,"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."}}