{"id":"W4381054405","doi":"10.1021/acsanm.3c02394","title":"Composites of Ag-Doped ZnIn<sub>2</sub>S<sub>4</sub> Nanoplates with Graphitic Carbon Nitride and Reduced Graphene Oxide Nanosheets for Sunlight-Driven Hydrogen Production and Water Purification","year":2023,"lang":"en","type":"article","venue":"ACS Applied Nano Materials","topic":"Advanced Photocatalysis Techniques","field":"Energy","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Liaoning Revitalization Talents Program; Shenyang University of Chemical Technology; Dalian Science and Technology Innovation Fund; Natural Sciences and Engineering Research Council of Canada; Dalian University of Technology; Natural Science Foundation of Liaoning Province; National Natural Science Foundation of China; Canada Research Chairs","keywords":"Materials science; Graphene; Photocatalysis; Nanocomposite; Graphitic carbon nitride; Water splitting; Oxide; Hydrogen production; Methyl orange; Bifunctional; Chemical engineering; Charge carrier; Heterojunction; Photodegradation; Nanotechnology; Catalysis; Optoelectronics; Chemistry","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":[0.0004909405,0.0005197191,0.0008493817,0.0005847206,0.0002371265,0.000081554,0.000223909,0.0002517905,0.000001804563],"category_scores_gemma":[0.00004615695,0.0004236938,0.00006224324,0.0006299649,0.0002813532,0.0002264312,0.0001351584,0.00008308351,0.000006279895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004601299,"about_ca_system_score_gemma":0.00002619265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008133822,"about_ca_topic_score_gemma":0.00006591983,"domain_scores_codex":[0.9972086,0.00009858935,0.0008330799,0.0009575405,0.0003160562,0.0005861204],"domain_scores_gemma":[0.9984625,0.0001118233,0.0004503339,0.0006669255,0.000194371,0.0001140639],"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":[0.0007021208,0.00007148255,0.00008717633,0.0003102178,0.0002053513,0.000004156807,0.0002848042,0.0002410633,0.9967923,0.0008499277,0.00002924099,0.0004222084],"study_design_scores_gemma":[0.000782283,0.000157062,0.0003882493,0.0001340435,0.000270386,0.00002226218,0.00006196332,0.00001413668,0.9918013,0.005793613,0.00003388577,0.0005408258],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966842,0.0000697405,0.00002364468,0.00008790414,0.0000970002,0.002414129,0.00006710458,0.0005217938,0.00003447671],"genre_scores_gemma":[0.9955678,0.0005444951,0.0008751996,0.00002461918,0.0000854352,0.001873177,0.0008691101,0.000152554,0.000007591306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004990961,"threshold_uncertainty_score":0.9998215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009262321289677994,"score_gpt":0.2169391132233577,"score_spread":0.2076767919336797,"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."}}