{"id":"W3099375796","doi":"10.1021/acsami.0c14559","title":"Affinity Immobilization of Semiconductor Quantum Dots and Metal Nanoparticles on Cellulose Paper Substrates","year":2020,"lang":"en","type":"article","venue":"ACS Applied Materials & Interfaces","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"U.S. Naval Research Laboratory; British Columbia Knowledge Development Fund; Natural Sciences and Engineering Research Council of Canada; University of British Columbia; Canada Research Chairs; Michael Smith Health Research BC; Office of Naval Research; Canada Foundation for Innovation; Alfred P. Sloan Foundation","keywords":"Cellulose; Materials science; Nanotechnology; Nanoparticle; Quantum dot; Colloidal gold; Chemical engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006982033,0.0001381761,0.0002244213,0.00002259481,0.0000211515,0.00004906985,0.00006096955,0.00007413997,0.0001819712],"category_scores_gemma":[0.00001524732,0.0001152513,0.000009658619,0.00006877141,0.00005236862,0.0000817805,0.00002564835,0.00005365941,0.00003644072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007339203,"about_ca_system_score_gemma":0.00000278202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001009968,"about_ca_topic_score_gemma":0.000002367246,"domain_scores_codex":[0.9993536,0.00001601848,0.0002592185,0.0001664636,0.00007854035,0.0001261562],"domain_scores_gemma":[0.9997793,0.00003150171,0.00004567094,0.00007991837,0.00001709056,0.00004646131],"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":[0.00006214863,0.00001732837,0.000005240432,0.0001290735,0.00002992177,4.719448e-7,0.0001922471,0.0002532103,0.9975113,0.001537997,0.00004618914,0.0002148565],"study_design_scores_gemma":[0.0001583634,0.00009210347,0.0001445331,0.00001650841,0.00002764655,6.039483e-7,0.0001441284,0.0001462096,0.9987329,0.000386015,0.00002917691,0.0001218408],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992572,0.0001116966,0.000007001248,0.00007093739,0.0001264945,0.0001166879,0.00003040924,0.0001096499,0.0001699421],"genre_scores_gemma":[0.9997521,0.00007895141,0.00003056591,0.00004780658,0.00005101911,0.000008123373,0.000006448431,0.00001996953,0.000004991095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001221555,"threshold_uncertainty_score":0.4699812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734271302667395,"score_gpt":0.2041693415148538,"score_spread":0.1868266284881799,"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."}}