{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002192614,0.0001295438,0.0003874708,0.0001902217,0.0001248476,0.0001564897,0.0005846618,0.00003520722,0.0001073497],"category_scores_gemma":[0.001121911,0.00009523761,0.0000498653,0.0005083308,0.0009956507,0.001908805,0.0002222522,0.0000862282,0.000021522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008095671,"about_ca_system_score_gemma":0.0001678411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005415476,"about_ca_topic_score_gemma":0.000005721136,"domain_scores_codex":[0.998209,0.00009066345,0.0006544202,0.0002276995,0.0005303397,0.0002878753],"domain_scores_gemma":[0.9979304,0.000185358,0.0007993413,0.0002593447,0.0006591693,0.0001663634],"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":[0.00007902357,0.00005262254,0.0004826265,0.00001286551,0.00000359991,6.542352e-7,0.0001293417,0.0001447688,0.9983973,0.00001378709,0.0001130744,0.0005703717],"study_design_scores_gemma":[0.0002499818,0.0002180074,0.009307894,0.00007591251,0.00001036168,0.00004646013,0.0002288214,0.0001422081,0.9892302,0.0001781176,0.0002072374,0.000104862],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983642,0.000242158,0.0003856791,0.0001350649,0.0005277516,0.0001070693,0.00001061141,0.000009554866,0.0002178825],"genre_scores_gemma":[0.9940125,0.00008328214,0.005719668,0.00003561855,0.00003831517,0.000002483323,1.279381e-7,0.000007333756,0.0001006651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009167127,"threshold_uncertainty_score":0.3883677,"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."}}