{"id":"W4316022751","doi":"10.1021/acs.energyfuels.2c03292","title":"Cobalt-Doped MoS<sub>2</sub>-Integrated Hollow Structured Covalent Organic Framework Nanospheres for the Effective Photoreduction of CO<sub>2</sub> under Visible Light","year":2023,"lang":"en","type":"article","venue":"Energy & Fuels","topic":"Covalent Organic Framework Applications","field":"Materials Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"SiliCycle (Canada); Geological Survey of Canada; Natural Resources Canada; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cobalt; Photocatalysis; Chemistry; Selectivity; Nanocomposite; Covalent bond; Charge carrier; Quantum yield; Doping; Nanotechnology; Chemical engineering; Visible spectrum; Materials science; Catalysis; Photochemistry; Inorganic chemistry; Optoelectronics; Organic chemistry; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000665505,0.0005338219,0.0006332278,0.0001713727,0.0006169772,0.0001792542,0.0008723539,0.0004872448,0.000520781],"category_scores_gemma":[0.0005516112,0.0004216976,0.0002875131,0.002205489,0.0003196523,0.0002324313,0.0002026993,0.0003993076,0.0002533044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003501793,"about_ca_system_score_gemma":0.0003499785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008879938,"about_ca_topic_score_gemma":0.0002160667,"domain_scores_codex":[0.9965003,0.0002844035,0.0007403246,0.0009677674,0.0007294069,0.000777764],"domain_scores_gemma":[0.9961481,0.001442343,0.0005179495,0.001259858,0.0004501102,0.0001816072],"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":[0.0001860555,0.000122032,0.00002965511,0.00007490039,0.0001432943,0.000002358667,0.0003729776,0.0008836322,0.9810338,0.00664985,0.007168538,0.003332921],"study_design_scores_gemma":[0.0006686923,0.0001981753,0.00153623,0.0001502001,0.0001843907,0.00001092794,0.0005338608,0.00023681,0.979129,0.01384507,0.003072436,0.0004342679],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9478781,0.0005952379,0.0461151,0.0009975074,0.002091287,0.001482648,0.0002389424,0.0005470193,0.00005419613],"genre_scores_gemma":[0.9965381,0.0005317813,0.0007890553,0.000302939,0.0004613347,0.0009476856,0.00013886,0.0001509106,0.000139345],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04866002,"threshold_uncertainty_score":0.9998235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01007740960859661,"score_gpt":0.2503264879580135,"score_spread":0.2402490783494169,"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."}}