{"id":"W2948232639","doi":"10.1016/j.jcis.2019.06.004","title":"Multi-crystalline N-doped Cu/CuxO/C foam catalyst derived from alkaline N-coordinated HKUST-1/CMC for enhanced 4-nitrophenol reduction","year":2019,"lang":"en","type":"article","venue":"Journal of Colloid and Interface Science","topic":"Nanomaterials for catalytic reactions","field":"Chemistry","cited_by":61,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"National Natural Science Foundation of China; Natural Science Foundation of Guangxi Zhuang Autonomous Region","keywords":"Catalysis; 4-Nitrophenol; Doping; Chemistry; Nitrophenol; Chemical engineering; Reduction (mathematics); Selective catalytic reduction; Materials science; Inorganic 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":[0.0004785555,0.0002235632,0.0004623094,0.0001951792,0.0002022698,0.0002068545,0.0005268229,0.00009987415,0.0003362638],"category_scores_gemma":[0.0003171008,0.000186612,0.0001336227,0.000348559,0.0002952765,0.0009655119,0.000113108,0.0002023719,0.00001801851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002546108,"about_ca_system_score_gemma":0.0003089576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001092093,"about_ca_topic_score_gemma":0.00001134018,"domain_scores_codex":[0.9981414,0.00001522623,0.0007460176,0.0003880713,0.0003658437,0.0003434506],"domain_scores_gemma":[0.9979085,0.00008156141,0.0007730927,0.0003222844,0.0007107747,0.0002038189],"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":[0.0003825017,0.0001197126,0.00002878688,0.00004032085,0.00005859527,7.446343e-7,0.0003326301,0.0001718325,0.998461,0.000003141009,0.0001398337,0.0002608747],"study_design_scores_gemma":[0.002407936,0.0002169964,0.00008547163,0.0001814225,0.00007917475,0.0001080102,0.001290427,0.002832697,0.9909297,0.00006467835,0.001590484,0.000213051],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898471,0.0002228917,0.00809659,0.0001403895,0.001074126,0.0002418709,0.00008898116,0.00002821636,0.0002598155],"genre_scores_gemma":[0.9921771,0.000079572,0.005259825,0.0000151553,0.0002403182,0.000009832254,0.00001743913,0.00002423074,0.002176519],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007531374,"threshold_uncertainty_score":0.7609816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01259616368631987,"score_gpt":0.2705540631636046,"score_spread":0.2579578994772848,"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."}}