{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002826255,0.0004615416,0.0003205274,0.000236723,0.0001743944,0.0003923512,0.0004407747,0.000424801,0.0007533765],"category_scores_gemma":[0.0004223166,0.0002268475,0.0002880314,0.0002405261,0.0001564352,0.000234744,0.0002627426,0.0002719181,0.000424517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006942929,"about_ca_system_score_gemma":0.000232764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001140942,"about_ca_topic_score_gemma":0.002189823,"domain_scores_codex":[0.9996064,0.00005343948,0.0000309497,0.00009912504,0.0001514937,0.00005857152],"domain_scores_gemma":[0.9998109,0.0000469944,0.00003999538,0.00003048547,0.0000488038,0.00002285871],"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":[0.00001288455,0.00001029851,0.0001442255,0.000022128,0.000004636679,0.00002222422,0.000006023907,0.0001134439,0.997907,0.00005378367,0.00002449958,0.001678854],"study_design_scores_gemma":[0.00000112097,0.00002080732,0.0002305717,9.101595e-7,0.000002500547,0.00001352092,0.000004303295,0.0007507685,0.9986935,0.000009943961,0.0002704667,0.000001537519],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9555582,0.001448332,0.0376656,0.0001627002,0.00008964925,0.0001329468,0.0003025426,0.0002192415,0.004420662],"genre_scores_gemma":[0.9385517,0.001288319,0.05437346,0.000159195,0.00002184631,0.0000897056,0.0003423026,0.0000416583,0.005131824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001140942,"threshold_uncertainty_score":0.005037427,"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."}}