{"id":"W2545549978","doi":"10.1139/cjc-2016-0220","title":"Catalytic wet peroxide oxidation of phenol over ZnFe<sub>2</sub>O<sub>4</sub> nano spinel","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Chemistry","topic":"Catalytic Processes in Materials Science","field":"Materials Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Catalysis; Chemistry; Phenol; Spinel; Response surface methodology; Zinc ferrite; Peroxide; Scanning electron microscope; Fourier transform infrared spectroscopy; Inorganic chemistry; Catalytic oxidation; Reaction rate; Nuclear chemistry; Zinc; Chemical engineering; Organic chemistry; Materials science; Metallurgy; Chromatography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0001606562,0.0003046932,0.0003551409,0.00012807,0.0001000544,0.0001784803,0.0002475518,0.0002366878,0.0003168756],"category_scores_gemma":[0.0002473211,0.0001503812,0.0002813227,0.0001339437,0.0001763353,0.0001665036,0.00009779127,0.0001575726,0.00008825889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003634917,"about_ca_system_score_gemma":0.0002339022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009711203,"about_ca_topic_score_gemma":0.002066668,"domain_scores_codex":[0.9998641,0.00001104422,0.00001087068,0.00002871167,0.0000655281,0.00001976585],"domain_scores_gemma":[0.9998729,0.00002122371,0.00004763405,0.000008143243,0.00004035084,0.000009651636],"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":[0.00008956516,0.00001338222,0.0001745087,0.0000541669,0.000004272629,0.00001293829,0.000004695515,0.0006726785,0.9980299,0.00001915565,0.0000066835,0.0009180682],"study_design_scores_gemma":[0.00001041159,0.0002156685,0.001005856,0.000001298282,0.00001261215,0.00001347535,0.000006340063,0.003127747,0.9954087,0.00001255517,0.0001826093,0.000002654537],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946896,0.0001767243,0.00471007,0.00001299754,0.000006461536,0.00002684749,0.00009079026,0.00002769454,0.0002588145],"genre_scores_gemma":[0.9942023,0.0002040805,0.004810647,0.00001176114,0.000002214041,0.00003714247,0.00008185199,0.000007273096,0.0006426328],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009711203,"threshold_uncertainty_score":0.002637386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007928645611875422,"score_gpt":0.207235219577294,"score_spread":0.1993065739654185,"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."}}