{"id":"W4386752610","doi":"10.1016/j.jes.2023.09.006","title":"A comparison increasing the photodegradation power of a Ag/g–C3N4 /CoNi–LDH nanocomposite: Photocatalytic activity toward water treatment","year":2023,"lang":"en","type":"article","venue":"Journal of Environmental Sciences","topic":"Advanced Photocatalysis Techniques","field":"Energy","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo; Islamic Azad University","keywords":"Photodegradation; Photocatalysis; Nanocomposite; Materials science; Chemical engineering; Chemistry; Catalysis; Nanotechnology; Organic 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":[],"consensus_categories":[],"category_scores_codex":[0.0008950857,0.0001897395,0.0003726192,0.0001935202,0.0002403187,0.00004749507,0.0004526676,0.00005354049,0.0002169349],"category_scores_gemma":[0.00002084918,0.0001009147,0.0002101453,0.0003299025,0.0005520042,0.0006178255,0.0001254357,0.000130955,0.00003223748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003142663,"about_ca_system_score_gemma":0.00003017847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004720863,"about_ca_topic_score_gemma":0.00003216733,"domain_scores_codex":[0.9981603,0.000158435,0.0005177092,0.0002198604,0.0006496285,0.0002940816],"domain_scores_gemma":[0.9989933,0.0001854196,0.0005081104,0.0002233806,0.00001195053,0.00007782047],"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":[0.0001479127,0.0003087322,0.004716007,0.000004664886,0.00006532504,0.0000100602,0.001848427,0.002335585,0.9843585,0.0000212237,0.00004115531,0.006142396],"study_design_scores_gemma":[0.0003906756,0.000873401,0.01143481,0.00003346506,0.00006182131,0.00005958872,0.001171249,0.001095625,0.9833283,0.0002539115,0.001167471,0.0001296768],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985844,0.00007687791,0.0001320771,0.0002064532,0.0000727974,0.0002862559,0.00000637825,0.00002644447,0.0006082632],"genre_scores_gemma":[0.9989904,0.0001133269,0.0007130776,0.00003397206,0.00002884964,0.00001826061,0.000006260791,0.00001294572,0.00008292295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006718808,"threshold_uncertainty_score":0.4115182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03154253862370946,"score_gpt":0.3094638492454158,"score_spread":0.2779213106217063,"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."}}