{"id":"W4311601263","doi":"10.1039/d2cy01857h","title":"Fiber-glass supported catalysis: real-time, high-resolution visualization of active palladium catalytic centers during the reduction of nitro compounds","year":2022,"lang":"en","type":"article","venue":"Catalysis Science & Technology","topic":"Nanomaterials for catalytic reactions","field":"Chemistry","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation","keywords":"Nitro; Catalysis; Palladium; Amine gas treating; Fluorescence; Chemistry; Molecule; Selective catalytic reduction; Reduction (mathematics); Fiber; Scanning electron microscope; Combinatorial chemistry; Materials science; Chemical engineering; Photochemistry; Organic chemistry; Composite material; Optics; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000124391,0.0004286311,0.000131281,0.0001705744,0.0001328349,0.0002437371,0.0004319134,0.0003433781,0.0009189853],"category_scores_gemma":[0.0001113441,0.0001811728,0.0001380046,0.0001191944,0.000272691,0.0002748367,0.0001833825,0.0003118098,0.0002746096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000403277,"about_ca_system_score_gemma":0.0002540476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002862277,"about_ca_topic_score_gemma":0.003811259,"domain_scores_codex":[0.9998951,0.000009358418,0.000003768288,0.0000335794,0.00003228434,0.00002581738],"domain_scores_gemma":[0.9999549,0.00001157518,0.00001248172,0.000006020792,0.000006966586,0.000007975174],"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":[0.00003067908,0.000006444794,0.00008334089,0.00001688057,0.000002451156,0.00003166469,0.00001563798,0.00006514215,0.9982756,0.0001234586,0.00004149586,0.001307111],"study_design_scores_gemma":[0.000002088015,0.00002372821,0.0003903804,8.332375e-7,0.000001425665,0.00002174409,0.000006549703,0.001033574,0.9980828,0.00001931184,0.0004151814,0.000002388398],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9786335,0.0006673241,0.01779387,0.0001196505,0.00004368737,0.00003605138,0.0003720892,0.000322649,0.002011357],"genre_scores_gemma":[0.9794542,0.0006615418,0.01658839,0.00003901133,0.00001445897,0.00003411961,0.0002790354,0.00003676703,0.00289246],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002862277,"threshold_uncertainty_score":0.00569123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00663642454178396,"score_gpt":0.234992092777971,"score_spread":0.228355668236187,"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."}}