{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003305264,0.0003039104,0.0001307792,0.00009413817,0.00008451773,0.0001862583,0.000170101,0.0002204453,0.0006439931],"category_scores_gemma":[0.00009421702,0.0001153937,0.0001409586,0.00007534686,0.000153562,0.0001782684,0.0001523741,0.0002001478,0.0001607263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002466478,"about_ca_system_score_gemma":0.0001183398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006679151,"about_ca_topic_score_gemma":0.001843958,"domain_scores_codex":[0.9999542,0.000003146409,0.000002372549,0.00001151122,0.00001773663,0.00001097897],"domain_scores_gemma":[0.999953,0.000007033866,0.00001859135,0.000003855211,0.000008690355,0.000008822713],"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":[0.00001419359,0.00000381795,0.00008228573,0.00002001776,0.000003881326,0.00002663673,0.000004346883,0.0001279802,0.9988055,0.00004866753,0.00002216871,0.0008404254],"study_design_scores_gemma":[0.000002194178,0.00004635036,0.001065732,0.000001173485,0.000006910252,0.0000767868,0.000008177331,0.001460032,0.9965233,0.00001354168,0.00079183,0.000003931625],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935529,0.0006203158,0.004320229,0.00003296441,0.00002510116,0.00001490119,0.0001136392,0.0001308319,0.001189141],"genre_scores_gemma":[0.9951149,0.0002774127,0.003302287,0.0000169243,0.000004297291,0.000007500213,0.00006229484,0.00001244922,0.001201968],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006679151,"threshold_uncertainty_score":0.00215441,"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."}}