{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001228856,0.0002390588,0.0002047205,0.0001144578,0.00007241876,0.0001240402,0.0001506265,0.00008685384,0.0000780704],"category_scores_gemma":[0.00001781186,0.0001950368,0.00005390242,0.0005925602,0.00003588325,0.000256043,0.00001649897,0.0002085063,0.0001702289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001894353,"about_ca_system_score_gemma":0.00006696918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002120077,"about_ca_topic_score_gemma":0.000033626,"domain_scores_codex":[0.9987965,0.0000107819,0.0002268803,0.0002436744,0.0002284596,0.0004937156],"domain_scores_gemma":[0.9995716,0.00009434822,0.00001572359,0.0001919296,0.00003678024,0.00008963495],"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":[0.00002845398,0.00001122653,0.0002563481,0.0001504436,0.0001120067,0.00009268005,0.0002994457,0.001167217,0.9833773,0.000296445,0.002477108,0.01173132],"study_design_scores_gemma":[0.0003940484,0.0001971547,0.000093063,0.0001418027,0.00005474594,0.0000847659,0.00005000391,0.008963075,0.9700824,0.0005038943,0.01902505,0.0004100139],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869359,0.006796814,0.001116074,0.00005847576,0.0005405811,0.0002182346,0.00001139795,0.001789363,0.002533233],"genre_scores_gemma":[0.9983073,0.00008383771,0.001024145,0.00004317418,0.0001666406,0.00003093303,0.00001237383,0.0001202774,0.0002112876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01654794,"threshold_uncertainty_score":0.7953371,"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."}}