{"id":"W2804249681","doi":"10.1021/acssuschemeng.8b00300","title":"Self-Assembled Mesoporous Carbon Nitride with Tunable Texture for Enhanced Visible-Light Photocatalytic Hydrogen Evolution","year":2018,"lang":"en","type":"article","venue":"ACS Sustainable Chemistry & Engineering","topic":"Advanced Photocatalysis Techniques","field":"Energy","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Priority Academic Program Development of Jiangsu Higher Education Institutions; Government of Jiangsu Province; Ministry of Education of the People's Republic of China; National Natural Science Foundation of China","keywords":"Carbon nitride; Materials science; Photocatalysis; Mesoporous material; Melamine; Ionic liquid; Nitride; Chemical engineering; Calcination; Carbon fibers; Methyl blue; Visible spectrum; Mesoporous silica; Nanotechnology; Composite material; Chemistry; Organic chemistry; Catalysis; Optoelectronics; Layer (electronics)","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":[0.00008418577,0.0002911984,0.0002066411,0.0001987587,0.0001228761,0.0001615051,0.0002783057,0.0002744905,0.0003296775],"category_scores_gemma":[0.0001061548,0.0001802972,0.0002208191,0.00009987392,0.0001298975,0.0002092066,0.0001536926,0.0002079235,0.0001811151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004115518,"about_ca_system_score_gemma":0.0001931469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001161161,"about_ca_topic_score_gemma":0.00495827,"domain_scores_codex":[0.9999222,0.000004364098,0.000005817513,0.00001895412,0.00003166526,0.00001696668],"domain_scores_gemma":[0.9999318,0.000007189366,0.00001840903,0.00000654904,0.00001789516,0.00001823569],"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":[0.0000165689,0.000007034193,0.00006895394,0.00002202717,0.000003373817,0.00002827266,0.000003961181,0.0001060212,0.9990682,0.00005371659,0.00002156048,0.0006003997],"study_design_scores_gemma":[0.00001735583,0.00009493215,0.002077045,0.000002724757,0.00001362023,0.0001239095,0.000009576111,0.004136192,0.9920705,0.0000289738,0.001416449,0.000008622294],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868307,0.001053444,0.008671782,0.00006504103,0.00006989072,0.00004159023,0.0003060499,0.0002303072,0.002731057],"genre_scores_gemma":[0.9911213,0.0003634835,0.006108904,0.00003399436,0.00001379769,0.00002552026,0.0003057448,0.00002873422,0.001998557],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001161161,"threshold_uncertainty_score":0.002986073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002737438746208378,"score_gpt":0.206315843483284,"score_spread":0.2035784047370756,"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."}}