{"id":"W6903242391","doi":"10.1021/acssuschemeng.0c04662.s001","title":"Synergistic Effect of Fe Doping and Plasmonic Au Nanoparticles\\non W<sub>18</sub>O<sub>49</sub> Nanorods for Enhancing Photoelectrochemical\\nNitrogen Reduction","year":2020,"lang":"en","type":"article","venue":"Figshare","topic":"Ammonia Synthesis and Nitrogen Reduction","field":"Chemical Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"NanoQuébec (Canada)","funders":"","keywords":"Nanorod; Plasmon; Dopant; Nanoparticle; Doping; Band gap; Semiconductor; Yield (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":[0.00007754062,0.0003147259,0.0001284425,0.0001022374,0.00007880924,0.0001676489,0.0002055787,0.0002509364,0.0007580319],"category_scores_gemma":[0.0001163644,0.0001628002,0.000146577,0.00006595874,0.000150187,0.0001928964,0.0001690174,0.0001710527,0.0001798348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001478372,"about_ca_system_score_gemma":0.00008639158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005243124,"about_ca_topic_score_gemma":0.001717667,"domain_scores_codex":[0.9999245,0.000005896952,0.000006059364,0.00002942395,0.00001688322,0.0000170854],"domain_scores_gemma":[0.9999627,0.000007577926,0.000009157187,0.000005475819,0.000007567237,0.000007619341],"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":[0.0000401881,0.00001098227,0.0000709299,0.00004007918,0.000003953191,0.00003047043,0.00001429152,0.0000767153,0.9972451,0.0001397269,0.00005541258,0.002272242],"study_design_scores_gemma":[0.000005805888,0.00006883444,0.000416089,0.000002406934,0.000008430583,0.00003497744,0.00000797869,0.001380195,0.9972085,0.00001589977,0.0008474161,0.00000343482],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917732,0.0006041794,0.003614079,0.00005695436,0.00004629173,0.00002203191,0.00006173488,0.0001017759,0.003719681],"genre_scores_gemma":[0.9937948,0.0002319364,0.004450134,0.00002464823,0.000006338271,0.00001548278,0.00003772854,0.00001585461,0.001423041],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007580319,"threshold_uncertainty_score":0.00253582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01452071961440386,"score_gpt":0.2236443175546613,"score_spread":0.2091235979402574,"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."}}