{"id":"W3201913970","doi":"10.1016/j.jcis.2021.09.156","title":"Nickel clusters accelerating hierarchical zinc indium sulfide nanoflowers for unprecedented visible-light hydrogen production","year":2021,"lang":"en","type":"article","venue":"Journal of Colloid and Interface Science","topic":"Advanced Photocatalysis Techniques","field":"Energy","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Natural Science Foundation of Hubei Province; Department of Education of Liaoning Province; National Natural Science Foundation of China","keywords":"Photocatalysis; Hydrogen production; Indium; Materials science; Zinc sulfide; Nickel sulfide; Photocatalytic water splitting; Photoluminescence; Visible spectrum; Quantum yield; Hydrogen; Sulfide; Zinc; Photochemistry; Nickel; Nanotechnology; Chemical engineering; Water splitting; Catalysis; Chemistry; Optoelectronics; Metallurgy; Optics; Physics; Fluorescence","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":[0.00005848816,0.0002207168,0.0001582812,0.0001314914,0.0002127737,0.000303407,0.0002560631,0.000244058,0.001014928],"category_scores_gemma":[0.00009245489,0.000129087,0.0001360607,0.0001077812,0.0001104769,0.0002358118,0.0002983155,0.000304292,0.0003649319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004368688,"about_ca_system_score_gemma":0.0001592134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009459831,"about_ca_topic_score_gemma":0.003054254,"domain_scores_codex":[0.9999387,0.000002925744,0.000003092008,0.00001216323,0.00002514443,0.00001798859],"domain_scores_gemma":[0.9999685,0.000003945221,0.000007196978,0.000004022021,0.000007538635,0.000008823237],"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":[0.00004935895,0.00001906717,0.0001089515,0.00004854142,0.000005164525,0.00003568692,0.00002775944,0.0001693839,0.9964844,0.0003849425,0.0003300763,0.002336604],"study_design_scores_gemma":[0.000007256457,0.00003607327,0.0003971121,0.000001910454,0.000005335758,0.00001403836,0.00001335126,0.001702233,0.996021,0.00004259056,0.001755807,0.000003288977],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846081,0.0008037297,0.007633502,0.000203206,0.0001067001,0.00003140094,0.0002856752,0.0005417957,0.005785922],"genre_scores_gemma":[0.9950622,0.0001791747,0.002237312,0.0000243131,0.00001045768,0.00001197356,0.0001010285,0.00002653517,0.002346977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001014928,"threshold_uncertainty_score":0.003395259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01630635852182761,"score_gpt":0.3000859739678597,"score_spread":0.2837796154460321,"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."}}