{"id":"W3010844385","doi":"10.1007/s10853-020-04547-0","title":"Colorimetric determination of dopamine using an electrospun nanofibrous membrane decorated with gold nanoparticles","year":2020,"lang":"en","type":"article","venue":"Journal of Materials Science","topic":"Electrochemical sensors and biosensors","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Amirkabir University of Technology","keywords":"Materials science; Nanofiber; Membrane; Colloidal gold; Electrospinning; Adsorption; Nanoparticle; Chemical engineering; Detection limit; Aqueous solution; Scanning electron microscope; Polyaniline nanofibers; Nanotechnology; Polymer; Nuclear chemistry; Chromatography; Composite material; Polymerization; Chemistry; Polyaniline; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003104928,0.00009689791,0.0002501669,0.0001267824,0.00003399871,0.00006544404,0.0002148573,0.00003252354,0.00001372685],"category_scores_gemma":[0.00008866997,0.00006935214,0.00001908208,0.001045228,0.0001079602,0.0004175232,0.00001345553,0.00005315483,8.880507e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005875968,"about_ca_system_score_gemma":0.0000605737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000591363,"about_ca_topic_score_gemma":0.000001016082,"domain_scores_codex":[0.9989339,0.00002492948,0.0003828549,0.0001011758,0.0003353486,0.00022181],"domain_scores_gemma":[0.9993038,0.00002491904,0.0002204955,0.00006450111,0.000246288,0.000140059],"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":[0.0001008025,0.00002407632,0.00004761269,0.00003609089,0.000004153405,0.000009893326,0.00004463114,0.001517957,0.9978247,0.000003922026,0.000002825097,0.0003833058],"study_design_scores_gemma":[0.0002487137,0.0008291636,0.0002198608,0.00003085833,0.00002081766,0.0001231145,0.00001619308,0.008174396,0.9902281,0.00000783583,0.000009526767,0.0000913849],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987089,0.00006775648,0.001018255,0.00002248081,0.00009336646,0.00005437654,0.000002049237,0.00002203734,0.00001075741],"genre_scores_gemma":[0.9891655,0.00002974483,0.01068928,0.00001887686,0.00008313843,2.199353e-7,3.469485e-7,0.00001122249,0.000001601594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00967103,"threshold_uncertainty_score":0.2828098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01621818349638485,"score_gpt":0.2267135102135698,"score_spread":0.210495326717185,"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."}}