{"id":"W3123572537","doi":"10.1039/d0nj05227b","title":"Superparamagnetic iron oxide nanoparticles functionalized with a binary alkoxysilane array and poly(4-vinylpyridine) for magnetic targeting and pH-responsive release of doxorubicin","year":2021,"lang":"en","type":"article","venue":"New Journal of Chemistry","topic":"Nanoparticle-Based Drug Delivery","field":"Materials Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nautical Research Society","funders":"Consejo Nacional de Ciencia y Tecnología","keywords":"Chemistry; Doxorubicin; Superparamagnetism; Supramolecular chemistry; Nanoparticle; Combinatorial chemistry; Magnetic nanoparticles; Oxide; Nanotechnology; Surface modification; Iron oxide nanoparticles; Polymer chemistry; Organic chemistry; Iron oxide; Magnetic field; Chemotherapy; Crystal structure; Physical chemistry","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":[0.0001262103,0.0002079691,0.0001450259,0.0001802157,0.0001286268,0.0001357674,0.0002053859,0.0002477964,0.0007596032],"category_scores_gemma":[0.0001405452,0.0001653985,0.0001080609,0.00006834201,0.0001834393,0.0002215142,0.0001694541,0.0002438733,0.0001885835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000211855,"about_ca_system_score_gemma":0.0001484552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002933969,"about_ca_topic_score_gemma":0.0009376674,"domain_scores_codex":[0.9999322,0.000008509161,0.000004694457,0.00001840878,0.00001930297,0.00001698506],"domain_scores_gemma":[0.9999478,0.00001073562,0.00001567563,0.000003900668,0.00000728911,0.0000146261],"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":[0.00002714475,0.000008335555,0.00001660864,0.0000129982,0.000001250805,0.0000200863,0.000006223301,0.00006584098,0.9990251,0.00009061177,0.00002286637,0.0007028843],"study_design_scores_gemma":[0.00001343091,0.0001060749,0.0004589462,0.000001668366,0.000005394506,0.00006208567,0.000005024858,0.002169069,0.9965094,0.00003513117,0.0006291039,0.000004784165],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914126,0.0004937816,0.00627247,0.00009342806,0.00004036107,0.0000196317,0.00003034493,0.0001087003,0.001528624],"genre_scores_gemma":[0.9928414,0.0002194656,0.005269404,0.0000463104,0.0000152894,0.00001559502,0.00004842922,0.00001434884,0.001529793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007596032,"threshold_uncertainty_score":0.002541125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006988310617622479,"score_gpt":0.2100402998531416,"score_spread":0.2030519892355191,"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."}}