{"id":"W2070012696","doi":"10.1039/c4ra12230e","title":"Fabrication and characterization of a novel nanoporous Co–Ni–W–B catalyst for rapid hydrogen generation","year":2014,"lang":"en","type":"article","venue":"RSC Advances","topic":"Hydrogen Storage and Materials","field":"Materials Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Natural Science Foundation of Guangxi Province; National Science Foundation","keywords":"Nanoporous; Fabrication; Catalysis; Characterization (materials science); Materials science; Hydrogen; Chemical engineering; Nanotechnology; Chemistry; Organic chemistry; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002071164,0.0002802449,0.0002769758,0.0004837354,0.0002648472,0.0002641036,0.0004394997,0.0005353874,0.0006806484],"category_scores_gemma":[0.000299953,0.0002678766,0.0002659938,0.0002477074,0.000174242,0.0003940961,0.0002020304,0.0003422432,0.0004401519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002682661,"about_ca_system_score_gemma":0.0002828748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001254145,"about_ca_topic_score_gemma":0.002282584,"domain_scores_codex":[0.9998217,0.000006844637,0.00001725121,0.0000381634,0.00009346116,0.00002256503],"domain_scores_gemma":[0.9998187,0.00002530677,0.00003575276,0.00003533012,0.00005506126,0.0000298568],"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":[0.00001801426,0.00001166505,0.00008076181,0.0000365689,0.000003822151,0.00003410082,0.000007336379,0.00007851687,0.9982955,0.00003931507,0.00003154057,0.001362983],"study_design_scores_gemma":[0.000004676903,0.0000467522,0.001099525,0.000001789563,0.000005668706,0.00009668075,0.000007984861,0.001630337,0.9959899,0.00001668864,0.001095111,0.000004978575],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9515372,0.001579995,0.04176857,0.000181853,0.00007077795,0.0001713591,0.0009702215,0.000569624,0.003150344],"genre_scores_gemma":[0.9763509,0.0005224763,0.02040415,0.00002712995,0.00001873105,0.00007109724,0.0006448227,0.0000403646,0.00192018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001254145,"threshold_uncertainty_score":0.00249368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.019289857410945,"score_gpt":0.2637173219150224,"score_spread":0.2444274645040774,"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."}}