{"id":"W3215305448","doi":"10.3389/fchem.2021.775220","title":"Facile Synthesis of Pd-Ir Nanocubes for Biosensing","year":2021,"lang":"en","type":"article","venue":"Frontiers in Chemistry","topic":"Advanced Nanomaterials in Catalysis","field":"Materials Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bioanalysis; Biosensor; Biomolecule; Nanomaterials; Aptamer; Nucleation; Nanotechnology; Quenching (fluorescence); Materials science; Aqueous solution; Fluorescence; Chemistry; Chemical engineering; Physical chemistry; 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":[0.0001774688,0.0003827112,0.0004055434,0.0002083548,0.0002203871,0.0002383867,0.0005003359,0.0003007448,0.000799229],"category_scores_gemma":[0.000212866,0.0002444555,0.000242297,0.000238421,0.000132869,0.000264694,0.0003299419,0.0005202375,0.0006118145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005477912,"about_ca_system_score_gemma":0.000361188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001206587,"about_ca_topic_score_gemma":0.003107882,"domain_scores_codex":[0.9997799,0.00001124537,0.000022604,0.00005510408,0.0001060809,0.00002511504],"domain_scores_gemma":[0.9999393,0.000007568259,0.0000111717,0.000009675206,0.0000227475,0.000009516418],"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":[0.00001670968,0.00001570304,0.00004348705,0.00009140935,0.000003867178,0.00004875574,0.00002120851,0.0001555669,0.9938039,0.0003659064,0.0001573383,0.005276132],"study_design_scores_gemma":[0.000006512142,0.00004641622,0.0002146778,0.000003569452,0.000003102474,0.00008695095,0.000007752114,0.001512342,0.9941928,0.00008349623,0.003838124,0.000004335065],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.742924,0.01061466,0.217671,0.0007044374,0.0003098844,0.0009990114,0.003121968,0.001864407,0.02179057],"genre_scores_gemma":[0.8189544,0.003610359,0.1688579,0.0001298049,0.00001964977,0.0003765925,0.001115597,0.0001424941,0.006793284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001206587,"threshold_uncertainty_score":0.003974557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008440958424340984,"score_gpt":0.2337711340783769,"score_spread":0.2253301756540359,"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."}}