{"id":"W4229368691","doi":"10.1139/cjc-2021-0250","title":"Enhanced reduction of nitrobenzene derivatives using reusable Ni nanoparticles supported on multi-layered poly(1,2-phenylenediamine)-coated layered double hydroxides","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Chemistry","topic":"Nanomaterials for catalytic reactions","field":"Chemistry","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nitrobenzene; Layered double hydroxides; Chemistry; Glycidyl methacrylate; Hydroxide; Nanomaterials; Catalysis; Nickel; Nanoparticle; Copolymer; Chemical engineering; Nuclear chemistry; Polymer chemistry; Combinatorial chemistry; Inorganic chemistry; Organic chemistry; Polymer","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000271768,0.0002824806,0.0005117424,0.0001844154,0.0003484451,0.0000559029,0.0004755517,0.000140037,0.00234096],"category_scores_gemma":[0.0001795663,0.0003171138,0.000176024,0.0003885697,0.0001582559,0.0002463842,0.00004888486,0.0003886435,0.00000287514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008618913,"about_ca_system_score_gemma":0.001687357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003019112,"about_ca_topic_score_gemma":0.000194762,"domain_scores_codex":[0.9977943,0.00003446995,0.0009832588,0.0002954185,0.0003772806,0.000515233],"domain_scores_gemma":[0.9975994,0.00004609887,0.001081329,0.0004649197,0.0002947943,0.0005134467],"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":[0.000291655,0.0001325508,0.0002694733,0.0001130299,0.0001799169,0.0000726219,0.000379688,0.001049499,0.9972708,0.000004616596,0.0001266963,0.0001094105],"study_design_scores_gemma":[0.002036668,0.00005580782,0.00004821089,0.0001273091,0.00007486036,0.0005684933,0.002291673,0.0001534629,0.994039,0.00005460342,0.0002708484,0.000279052],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980774,0.0003050237,0.00004333768,0.0001262553,0.0003893015,0.00007994985,0.000182922,0.00002587692,0.0007699674],"genre_scores_gemma":[0.9981207,0.000009040838,0.0006612346,0.00001441526,0.0002073782,0.00001258447,0.00008302783,0.00006058813,0.00083101],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003231831,"threshold_uncertainty_score":0.9999281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03014515425826609,"score_gpt":0.2508361033966886,"score_spread":0.2206909491384225,"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."}}