{"id":"W4405836052","doi":"10.1039/d4nr04210g","title":"Small upconversion-ruthenium nanohybrids for cancer theranostics","year":2024,"lang":"en","type":"article","venue":"Nanoscale","topic":"Luminescence Properties of Advanced Materials","field":"Materials Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Horizon 2020 Framework Programme; Normandie Université; Région Normandie; Institut National des Sciences Appliquées Rouen; Université de Rouen; Centre National de la Recherche Scientifique; Labex; Canada Excellence Research Chairs, Government of Canada; Agence Nationale de la Recherche; Ministero dell’Istruzione, dell’Università e della Ricerca; Consiglio Nazionale delle Ricerche; European Regional Development Fund; European Commission; Università degli Studi di Padova; Indian National Science Academy","keywords":"Photon upconversion; Ruthenium; Materials science; Nanotechnology; Optoelectronics; Chemistry; Luminescence; Catalysis; 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":[0.0001983744,0.0002830164,0.0003334088,0.0001866732,0.0001500695,0.0003689088,0.0003943782,0.0005329169,0.002441242],"category_scores_gemma":[0.0001488355,0.0001972702,0.0002256025,0.0001454438,0.0001904905,0.0003473744,0.000296817,0.0005956594,0.0007571378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006424531,"about_ca_system_score_gemma":0.0001281458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004645982,"about_ca_topic_score_gemma":0.001001533,"domain_scores_codex":[0.9997995,0.00002542899,0.000008024329,0.0000569411,0.00006237299,0.00004779956],"domain_scores_gemma":[0.9999311,0.00002520618,0.00001287831,0.000008066791,0.00001095491,0.00001173398],"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":[0.00002851234,0.00001436254,0.00001274535,0.00002663196,0.000003137909,0.0000207669,0.00001072171,0.0001060248,0.998326,0.0001792415,0.00008191729,0.001189906],"study_design_scores_gemma":[0.000009083243,0.00006408024,0.0001708417,0.000001650472,0.000006963261,0.00005300167,0.000007530804,0.0009144078,0.9969264,0.00002799683,0.001811561,0.000006551923],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.960834,0.003701172,0.02746963,0.000371262,0.0001192694,0.0001355779,0.0004722677,0.0009602064,0.005936687],"genre_scores_gemma":[0.9859791,0.0005082762,0.009077462,0.0001089924,0.00001621705,0.00007297605,0.0001821885,0.00008511561,0.003969651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002441242,"threshold_uncertainty_score":0.00816673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03006003942122174,"score_gpt":0.2734205421830492,"score_spread":0.2433605027618275,"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."}}