{"id":"W4399459425","doi":"10.1002/nano.202400004","title":"Rhabdomyosarcoma targeting with tuned porous silicon nanoparticles","year":2024,"lang":"en","type":"article","venue":"Nano Select","topic":"Nanoplatforms for cancer theranostics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Université de Montpellier; Agence Nationale de la Recherche; Mach-Gaensslen Foundation of Canada","keywords":"Porous silicon; Rhabdomyosarcoma; Phototoxicity; Porphyrin; Cytotoxicity; Nanoparticle; Materials science; Mannose; Two-photon excitation microscopy; Silicon; Biophysics; Cancer research; Chemistry; Nanotechnology; Sarcoma; In vitro; Optoelectronics; Medicine; Fluorescence; Photochemistry; Biochemistry; Pathology; Optics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000562346,0.0001550891,0.00006864867,0.0000759477,0.00005692767,0.0001263789,0.00007880428,0.000148778,0.0003697748],"category_scores_gemma":[0.00005940332,0.00006079449,0.0001010721,0.0000398948,0.0001236549,0.0001142132,0.000102247,0.000118387,0.0000962285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002253646,"about_ca_system_score_gemma":0.0001301159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005819724,"about_ca_topic_score_gemma":0.0009373356,"domain_scores_codex":[0.9999694,0.000002936414,0.000001580784,0.000007785922,0.000009802965,0.000008539239],"domain_scores_gemma":[0.9999675,0.000009105686,0.00001142765,0.000002024743,0.000005005814,0.00000498492],"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":[0.00001473312,0.000004905224,0.00007991354,0.0000148638,0.000002249018,0.00002743269,0.000007267691,0.0004232544,0.9983376,0.0001272906,0.00002761406,0.0009327331],"study_design_scores_gemma":[0.00000617158,0.0001015013,0.0008460603,0.000001970666,0.00000497791,0.00008740025,0.000009456598,0.003242269,0.994655,0.00003202273,0.001010002,0.000003172988],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918122,0.0004901379,0.005679427,0.00004365636,0.00001025794,0.00001791481,0.00005486309,0.00005116495,0.00184035],"genre_scores_gemma":[0.9953387,0.0002082805,0.003537237,0.00002446847,0.000003464481,0.00001019338,0.00003838528,0.000005582211,0.0008336935],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005819724,"threshold_uncertainty_score":0.001635134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004974964117907957,"score_gpt":0.1941262682901692,"score_spread":0.1891513041722612,"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."}}