{"id":"W4224215135","doi":"10.1016/j.colsurfa.2022.129030","title":"Magnetite (Fe3O4) and nickel ferrite (NiFe2O4) zeta potential measurements at high temperature: Part II – Results, study of the influence of temperature, boron concentration and lithium concentration on the zeta potential","year":2022,"lang":"en","type":"article","venue":"Colloids and Surfaces A Physicochemical and Engineering Aspects","topic":"Nuclear Materials and Properties","field":"Materials Science","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"Framatome; CANDU Owners Group","keywords":"Zeta potential; Boron; Corrosion; Coolant; Magnetite; Nickel; Ferrite (magnet); Materials science; Chemistry; Inorganic chemistry; Metallurgy; Chemical engineering; Thermodynamics; Nanoparticle; Composite material; Nanotechnology","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":[0.0002924939,0.0003180566,0.0003180199,0.000292194,0.0003784694,0.0002474189,0.0002900267,0.0002863358,0.0009050407],"category_scores_gemma":[0.0002851583,0.0001728805,0.0002599571,0.0003011674,0.0002751681,0.0003403155,0.0002078383,0.0003828866,0.0002436667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004026205,"about_ca_system_score_gemma":0.0001574529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001774218,"about_ca_topic_score_gemma":0.001800113,"domain_scores_codex":[0.9998111,0.00001937313,0.00001265849,0.00004020622,0.00007481328,0.00004190102],"domain_scores_gemma":[0.9998162,0.00006598286,0.00002414058,0.00001470235,0.00005993101,0.00001899348],"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":[0.0001208084,0.000009559172,0.0002293707,0.00002464784,0.000003160697,0.00001606839,0.00003782616,0.00006836329,0.9987561,0.00002056282,0.00002143309,0.0006920908],"study_design_scores_gemma":[0.000005037301,0.00005674345,0.002202947,0.000001293831,0.000004840205,0.00002916794,0.00002768741,0.0005025919,0.9968889,0.00002049156,0.0002567054,0.000003660142],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930554,0.0004518332,0.005030292,0.0000484998,0.00001649026,0.00002072455,0.0003838085,0.00007421075,0.000918864],"genre_scores_gemma":[0.9942047,0.0003230535,0.003266179,0.00001960784,0.000008179589,0.00003042157,0.0004435662,0.00003607713,0.001668234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001774218,"threshold_uncertainty_score":0.003527701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008142276613517074,"score_gpt":0.1797620168429043,"score_spread":0.1716197402293873,"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."}}