{"id":"W3155208819","doi":"10.2139/ssrn.3697765","title":"From Prevention to Diagnosis and Treatment: Biomedical Applications of Metal Nanoparticle-Hydrogel Composites","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Graphene and Nanomaterials Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Materials science; Nanoparticle; Composite material; Nanotechnology","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":[0.0002328546,0.0003394386,0.0002333691,0.0002895369,0.0001919614,0.00067299,0.000266817,0.0008551291,0.001337932],"category_scores_gemma":[0.0002514333,0.0001615963,0.0002473769,0.00012063,0.0004151308,0.0004220784,0.0003382333,0.0007812395,0.0002261215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002801316,"about_ca_system_score_gemma":0.0002318539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003195985,"about_ca_topic_score_gemma":0.0007026232,"domain_scores_codex":[0.9999065,0.00001899237,0.000005216873,0.00002626196,0.00002699051,0.00001601274],"domain_scores_gemma":[0.9998996,0.00004553021,0.00001928595,0.000005405421,0.00001404243,0.0000160563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000640066,0.0004121735,0.001480287,0.00183843,0.00007467058,0.0007494353,0.0001906398,0.001264705,0.8018904,0.006674759,0.00428659,0.1804978],"study_design_scores_gemma":[0.00005463303,0.0008951318,0.002494137,0.0002052034,0.0001190643,0.001592214,0.0001985858,0.005408149,0.9536971,0.004299016,0.03099674,0.00003991784],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.4514892,0.3829081,0.0891033,0.03188248,0.002902007,0.0001843556,0.0002918013,0.001042734,0.04019606],"genre_scores_gemma":[0.8984773,0.06532162,0.02234244,0.003882143,0.000580288,0.00005028933,0.00005730282,0.00004815076,0.009240435],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.001337932,"threshold_uncertainty_score":0.004475892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009220022828112944,"score_gpt":0.2278639186148073,"score_spread":0.2186438957866944,"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."}}