{"id":"W4390273485","doi":"10.1021/acs.iecr.3c03387","title":"Photodegradation of Xanthate Using a Bi<sub>2</sub>Fe<sub>4</sub>O<sub>9</sub>/ZnIn<sub>2</sub>S<sub>4</sub>Heterojunction: Experimental and DFT Studies","year":2023,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Advanced Photocatalysis Techniques","field":"Energy","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"China University of Mining and Technology","keywords":"Xanthate; Photodegradation; Photocatalysis; Materials science; Degradation (telecommunications); Catalysis; Visible spectrum; Heterojunction; Irradiation; Chemical engineering; Nuclear chemistry; Analytical Chemistry (journal); Chemistry; Chromatography; Organic chemistry; Polymer chemistry; Optoelectronics; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.002690629,0.001773588,0.00208727,0.001405586,0.0009082312,0.0004404372,0.001230757,0.001761825,0.00002158689],"category_scores_gemma":[0.00195986,0.002047236,0.0006759483,0.004448221,0.001002995,0.00120775,0.001634213,0.003508231,0.0000862032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002148445,"about_ca_system_score_gemma":0.000588749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001446055,"about_ca_topic_score_gemma":0.00004345063,"domain_scores_codex":[0.9887843,0.0004449337,0.002327761,0.002599686,0.003002133,0.002841156],"domain_scores_gemma":[0.9940684,0.001162644,0.0007830529,0.002044841,0.001032194,0.0009088889],"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":[0.0006902855,0.0003374829,0.0001322415,0.0006033697,0.0008796084,0.0002232379,0.0006235184,0.009516037,0.9725677,0.00001837834,0.001427576,0.01298062],"study_design_scores_gemma":[0.003106314,0.0003501471,0.00007647588,0.00121129,0.0002173862,0.0001357172,0.001167629,0.007851152,0.9835113,0.0001254502,0.0005304596,0.001716685],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937539,0.001112591,0.0003488037,0.0001117392,0.0008663564,0.001904333,0.0002094663,0.001562584,0.0001302381],"genre_scores_gemma":[0.9933558,0.001875871,0.0001548379,0.00002175776,0.002016399,0.001293897,0.0006960211,0.0005570658,0.00002832272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01126393,"threshold_uncertainty_score":0.9995341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.10800087869829,"score_gpt":0.354828174157134,"score_spread":0.246827295458844,"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."}}