{"id":"W4382724799","doi":"10.1039/d3ra03073c","title":"User-friendly and ultra-stable all-inclusive gold tablets for cysteamine detection","year":2023,"lang":"en","type":"article","venue":"RSC Advances","topic":"Advanced Nanomaterials in Catalysis","field":"Materials Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Cysteamine; Pullulan; Detection limit; Chemistry; Colloidal gold; Catalysis; Chromatography; Nanoparticle; Materials science; Nuclear chemistry; Combinatorial chemistry; Chemical engineering; Nanotechnology; Polysaccharide; 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":[0.0005258226,0.00100473,0.0005194264,0.0004838064,0.0002807014,0.0004821332,0.0009960657,0.001035074,0.004428493],"category_scores_gemma":[0.000857062,0.0005296087,0.0003270204,0.0002346067,0.0002216333,0.0004948666,0.0005524107,0.0006848762,0.002755754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002351547,"about_ca_system_score_gemma":0.0002603629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002642442,"about_ca_topic_score_gemma":0.0009747503,"domain_scores_codex":[0.9991232,0.0001381966,0.00005731039,0.0002117004,0.000433413,0.00003619488],"domain_scores_gemma":[0.9996614,0.00009313088,0.00006278701,0.00006030991,0.00009333307,0.00002905919],"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":[0.00008103455,0.00003638232,0.0002101616,0.0002570758,0.00003152617,0.0001867402,0.00003668533,0.0000811761,0.9754595,0.0002587693,0.001286931,0.02207405],"study_design_scores_gemma":[0.00002372698,0.0002713891,0.001669116,0.00002089653,0.00005202752,0.001631595,0.0000249219,0.003517132,0.9738913,0.00008805491,0.01876662,0.00004329016],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4366094,0.01396187,0.5001118,0.001483571,0.0008273644,0.002472033,0.004931157,0.00923557,0.03036719],"genre_scores_gemma":[0.5671992,0.002622252,0.4037213,0.000591819,0.00009585758,0.001382752,0.001796011,0.0002852544,0.0223055],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004428493,"threshold_uncertainty_score":0.01481485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01112066149239734,"score_gpt":0.2854314607079732,"score_spread":0.2743107992155758,"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."}}