{"id":"W2028713713","doi":"10.1016/j.jcis.2013.12.007","title":"Redox reactivity of cerium oxide nanoparticles against dopamine","year":2013,"lang":"en","type":"article","venue":"Journal of Colloid and Interface Science","topic":"Advanced Nanomaterials in Catalysis","field":"Materials Science","cited_by":79,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"University of Toronto; European Commission; National Science Foundation","keywords":"Dopamine; Cerium oxide; Chemistry; Redox; Reactivity (psychology); Cerium; Chemisorption; Nanoparticle; Aqueous solution; Adsorption; Inorganic chemistry; Oxide; Nanotechnology; Organic chemistry; Materials science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002495645,0.0002233361,0.0001948516,0.0001588228,0.0001396274,0.0002407204,0.0003799657,0.0003741172,0.0009860195],"category_scores_gemma":[0.0002924457,0.0001205064,0.0001836884,0.00009610196,0.0002040171,0.0002105831,0.0001632477,0.0003368173,0.0002177083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003011134,"about_ca_system_score_gemma":0.0001296938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007858377,"about_ca_topic_score_gemma":0.0008405882,"domain_scores_codex":[0.9998178,0.00002730098,0.00001036315,0.00003853809,0.0000489845,0.00005708677],"domain_scores_gemma":[0.9998885,0.00003573994,0.00001727697,0.00001392686,0.00003108124,0.00001343393],"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":[0.0003882945,0.00002230419,0.0001927952,0.00006287314,0.00001486171,0.00008982539,0.00005498661,0.0001561954,0.9969542,0.0001757234,0.00007335153,0.001814666],"study_design_scores_gemma":[0.00000646919,0.0001476016,0.0003569842,0.000002833502,0.00000845071,0.00004223023,0.0000230571,0.0006258789,0.9983164,0.00002021058,0.0004470539,0.000002897461],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965838,0.0006377499,0.0005909198,0.00004568858,0.00003218633,0.000006311175,0.00003967524,0.00001927203,0.002044361],"genre_scores_gemma":[0.9985895,0.000160825,0.0002505512,0.00001950514,0.00000363212,0.000002355963,0.00005753588,0.000004973035,0.0009111746],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009860195,"threshold_uncertainty_score":0.003298521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008408449014280176,"score_gpt":0.2574586371339502,"score_spread":0.2490501881196701,"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."}}