{"id":"W2081333741","doi":"10.1021/cm3041345","title":"Water Oxidation Catalysis by Nanoparticulate Manganese Oxide Thin Films: Probing the Effect of the Manganese Precursors","year":2013,"lang":"en","type":"article","venue":"Chemistry of Materials","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":112,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Monash University; University of Victoria","keywords":"Overpotential; Manganese; Catalysis; Nafion; Inorganic chemistry; Oxide; Dissociation (chemistry); Nanoparticle; X-ray absorption spectroscopy; Chemistry; Oxidation state; Molecule; Materials science; Absorption spectroscopy; Nanotechnology; Organic chemistry; Electrode; Physical chemistry; Electrochemistry","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":[0.0006122073,0.0002475896,0.0003751032,0.00001959739,0.0001115081,0.00004356724,0.0005781786,0.0001512544,0.0008244078],"category_scores_gemma":[0.0001345242,0.0001209981,0.0001461911,0.0001315752,0.0001655581,0.000176704,0.0001821363,0.00008311857,0.00006456692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005353033,"about_ca_system_score_gemma":0.00001650049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001803886,"about_ca_topic_score_gemma":0.000008053464,"domain_scores_codex":[0.998372,0.0001920998,0.0004895284,0.0002695516,0.0003584957,0.0003183497],"domain_scores_gemma":[0.9986742,0.00009423651,0.000323572,0.0007587058,0.0001048589,0.00004450072],"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":[0.00005240666,0.00002158751,0.00006196905,0.000402006,0.0001051036,6.250442e-7,0.0003058731,0.0003778937,0.9973802,0.000005007996,0.001241864,0.00004545063],"study_design_scores_gemma":[0.0003426502,0.00002839021,0.00008248634,0.00007980872,0.0001344387,0.000009318098,0.00006109821,0.00003335818,0.9987708,0.00005470393,0.0002564041,0.0001465995],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988446,0.00006433271,8.867547e-7,0.000229739,0.0001066294,0.0003238453,0.000004490379,0.00004387795,0.000381588],"genre_scores_gemma":[0.9971454,0.000005607098,0.00001381931,0.00001829154,0.00003323248,0.0001202561,0.0002149938,0.00003404203,0.002414366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002032777,"threshold_uncertainty_score":0.9026688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002895652854658177,"score_gpt":0.1817266688718506,"score_spread":0.1788310160171925,"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."}}