{"id":"W4210290463","doi":"10.1002/cjce.24376","title":"Efficient and selective oxidation of furfural into high‐value chemicals by cobalt and nitrogen co‐doped carbon","year":2022,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Polyoxometalates: Synthesis and Applications","field":"Materials Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Catalysis; Cobalt; Chemistry; Furfural; Inorganic chemistry; Electron paramagnetic resonance; Polyoxometalate; X-ray photoelectron spectroscopy; Nuclear chemistry; Photochemistry; Organic chemistry; Chemical engineering; Nuclear magnetic resonance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0003502749,0.00007804536,0.0001697585,0.00006039177,0.00008766154,0.00002386869,0.0001555913,0.00002662657,0.00002691755],"category_scores_gemma":[0.0000933184,0.00006416142,0.00002592773,0.000131942,0.00008552266,0.00002140099,0.0000270218,0.0001441726,2.438096e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001500901,"about_ca_system_score_gemma":0.0001150619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001925056,"about_ca_topic_score_gemma":0.00001243509,"domain_scores_codex":[0.9993545,0.00002333573,0.0002255925,0.00008821952,0.0001513639,0.0001570314],"domain_scores_gemma":[0.9994659,0.00009824304,0.0001208582,0.00007773362,0.00004232029,0.0001949705],"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":[0.000006049861,0.000005799367,0.00007191742,0.000008381068,0.0000122252,7.381318e-7,0.0002170862,0.002209381,0.9970574,0.000301125,0.00004756839,0.00006234849],"study_design_scores_gemma":[0.0001381961,0.00001910492,0.00007653554,0.00001213109,0.00002599285,0.00004845619,0.00002729954,0.005393296,0.9938783,0.0002151047,0.00009653519,0.00006904996],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987856,0.0006502885,0.00003654672,0.000369383,0.00003361718,0.00006989871,0.00002854946,0.000004650467,0.0000214518],"genre_scores_gemma":[0.9996402,0.000002247609,0.0002812449,0.00002436463,0.00002962959,0.000007776216,0.000002458861,0.000009130671,0.000002939219],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003183914,"threshold_uncertainty_score":0.2910122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004314745372452362,"score_gpt":0.1898209992718744,"score_spread":0.1855062538994221,"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."}}