{"id":"W3111350375","doi":"10.1038/s41598-021-87250-7","title":"Corrosion and transformation of solution combustion synthesized Co, Ni and CoNi nanoparticles in synthetic freshwater with and without natural organic matter","year":2021,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Nanomaterials for catalytic reactions","field":"Chemistry","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Kungliga Tekniska Högskolan; Swedish Institute; Stiftelsen för Miljöstrategisk Forskning","keywords":"Bimetallic strip; Nanoparticle; Corrosion; Transformation (genetics); Materials science; Chemical engineering; Combustion; Metal; Natural organic matter; Metallurgy; Organic matter; Nanotechnology; Chemistry; 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":[0.0003836934,0.0001077703,0.0001996336,0.00007203599,0.000127175,0.0001461276,0.00002319789,0.00006024072,0.0001625472],"category_scores_gemma":[0.00004768116,0.00008724177,0.00001444831,0.000115753,0.0003047568,0.0002906377,0.00002456226,0.00006068558,0.000002273895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003179151,"about_ca_system_score_gemma":0.00004748487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003789167,"about_ca_topic_score_gemma":0.0002210987,"domain_scores_codex":[0.9989018,0.00002667323,0.0003757624,0.0003516052,0.0001944761,0.0001497284],"domain_scores_gemma":[0.9994223,0.00002821248,0.0001752588,0.0002446079,0.00008073793,0.00004888645],"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":[0.00004170823,0.00004172983,0.03191815,0.0001767178,0.000006009526,0.00002042895,0.0005097706,0.000001245697,0.9670618,0.000005686933,0.00003724035,0.000179562],"study_design_scores_gemma":[0.000463521,0.000008605159,0.004897167,0.0002306012,0.00004876122,0.001353434,0.0002831522,0.0003387399,0.9919143,0.0002329023,0.0001198529,0.0001089271],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991291,0.0001705033,0.00004222904,0.0001144732,0.0003039087,0.0001150343,0.000009211802,0.00002067143,0.00009490074],"genre_scores_gemma":[0.9994054,0.00001229166,0.0001565375,0.000004849368,0.000005706604,0.000008781733,0.00007622039,0.00001093687,0.0003192573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02702098,"threshold_uncertainty_score":0.3557616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007008717534086798,"score_gpt":0.2148345054007522,"score_spread":0.2078257878666654,"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."}}