{"id":"W2804047340","doi":"10.1021/acs.langmuir.8b01119","title":"Functional Bioinorganic Hybrids from Enzymes and Luminescent Silicon-Based Nanoparticles","year":2018,"lang":"en","type":"article","venue":"Langmuir","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Deutsche Forschungsgemeinschaft; University of Alberta; University of the Philippines; Alberta Innovates - Technology Futures","keywords":"Photoluminescence; Materials science; Hydrosilylation; Nanoparticle; Substrate (aquarium); Dynamic light scattering; Fourier transform infrared spectroscopy; Silicon; Photochemistry; Chemistry; Chemical engineering; Nanotechnology; Organic chemistry; Catalysis","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":[0.000149612,0.0004549116,0.0002140144,0.0002820222,0.00009881566,0.0004053421,0.0003592274,0.0003836789,0.0007758471],"category_scores_gemma":[0.0001344967,0.0002489767,0.0003157266,0.0002071411,0.0001848648,0.0003145921,0.0002883498,0.0003039275,0.0004003807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003163295,"about_ca_system_score_gemma":0.0001195359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001122047,"about_ca_topic_score_gemma":0.0004030445,"domain_scores_codex":[0.9998525,0.00001416567,0.00001223041,0.00003814176,0.00005235832,0.00003055076],"domain_scores_gemma":[0.9999312,0.00001688027,0.00001853607,0.000007621702,0.00001265572,0.00001309694],"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":[0.00002471346,0.00001649498,0.00006946156,0.00004665217,0.00001217986,0.00004416033,0.000008664542,0.0001559264,0.997605,0.0001628325,0.0000247972,0.001829218],"study_design_scores_gemma":[0.000007693307,0.00005718306,0.0002325234,0.000001700952,0.00001113038,0.00008820391,0.000005363393,0.0004656749,0.9978319,0.000027996,0.001267374,0.000003227211],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9734764,0.002857114,0.01842932,0.0001280164,0.00008508741,0.00006365142,0.0001729903,0.0004096489,0.004377806],"genre_scores_gemma":[0.9852322,0.0007734012,0.01075134,0.00006559719,0.00002293003,0.00003654412,0.0002707974,0.00003565885,0.002811581],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007758471,"threshold_uncertainty_score":0.002595484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008916154163235305,"score_gpt":0.2330616359272628,"score_spread":0.2241454817640275,"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."}}