{"id":"W2892621414","doi":"10.1039/c8nr05368e","title":"Interfacing enzymes with silicon nanocrystals through the thiol–ene reaction","year":2018,"lang":"en","type":"article","venue":"Nanoscale","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Hospital Edmonton; University of Alberta","funders":"Graduate School, Technische Universität München; Natural Sciences and Engineering Research Council of Canada; Deutsche Forschungsgemeinschaft; University of Alberta; University of the Philippines; Alberta Innovates - Technology Futures","keywords":"Ene reaction; Interfacing; Thiol; Nanocrystal; Silicon; Bioinorganic chemistry; Photoluminescence; Catalysis; Materials science; Click chemistry; Nanotechnology; Chemistry; Combinatorial chemistry; Photochemistry; Organic chemistry; Computer science; Optoelectronics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001119359,0.0001415212,0.000118582,0.00001899901,0.0001934726,0.00002568342,0.0001353283,0.0001201411,0.000002504246],"category_scores_gemma":[0.00003695751,0.00008121508,0.00006333799,0.0001299319,0.0002502624,0.000005660878,0.00009160921,0.00009027502,0.000005035191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001385281,"about_ca_system_score_gemma":0.00002358959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006216195,"about_ca_topic_score_gemma":0.0002279643,"domain_scores_codex":[0.9991881,0.00005084046,0.0001433492,0.0003061325,0.0001175001,0.0001940982],"domain_scores_gemma":[0.9993458,0.00001164655,0.00009328691,0.0003992371,0.0001234052,0.00002659943],"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":[0.00008714215,0.00002229079,0.000146605,0.00000314197,0.00003601992,8.20091e-7,0.00006174794,5.502707e-7,0.9938335,0.000069391,0.002428794,0.003309999],"study_design_scores_gemma":[0.0001324462,0.0004467083,0.0001463659,0.00002452773,0.00002624214,0.00002836998,0.0001655497,0.000009071908,0.9371176,0.0001988209,0.06157368,0.0001306259],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909344,0.0003165186,0.00243318,0.0005927574,0.00008793657,0.0001395324,0.000006899446,0.00006879037,0.005420029],"genre_scores_gemma":[0.9957865,0.00007735083,0.001749414,0.0005188684,0.0003598933,0.000008110362,0.00002217553,0.00001713805,0.001460522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05914489,"threshold_uncertainty_score":0.3311855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01038746149436056,"score_gpt":0.268677713680965,"score_spread":0.2582902521866045,"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."}}