{"id":"W4389955501","doi":"10.1016/j.jece.2023.111739","title":"Dynamic tracking of photocatalytic oxidation of organic micropollutant by Raman spectroscopy over Aurivillius Bi3.4La0.6Ti3O12 nanocatalyst","year":2023,"lang":"en","type":"article","venue":"Journal of environmental chemical engineering","topic":"Advanced Photocatalysis Techniques","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Aurivillius; Raman spectroscopy; Chemistry; Catalysis; Nanomaterial-based catalyst; Photocatalysis; Photochemistry; Mass spectrometry; Spectroscopy; Adsorption; Bismuth; Reactivity (psychology); Materials science; Physical chemistry; Organic chemistry; Chromatography; Optoelectronics","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":[0.0001044565,0.0002041634,0.0001440633,0.0002260194,0.0001892664,0.0003081758,0.00028782,0.0003170251,0.001193193],"category_scores_gemma":[0.0001645792,0.000145563,0.0001395166,0.0002072028,0.0001738031,0.0002408153,0.0001707699,0.0003875035,0.0002541983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003112294,"about_ca_system_score_gemma":0.0001548038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001978831,"about_ca_topic_score_gemma":0.002769947,"domain_scores_codex":[0.9998767,0.000006677617,0.000005205466,0.00003578645,0.00004561283,0.00002989631],"domain_scores_gemma":[0.9999102,0.00002142649,0.00002272728,0.000007948319,0.00002816473,0.000009539893],"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":[0.00005411678,0.000007628549,0.0001601508,0.00001403903,0.000002002459,0.00001841944,0.00001968054,0.00004709331,0.9983719,0.00004777693,0.00004563988,0.001211577],"study_design_scores_gemma":[0.000002004448,0.00003341834,0.001294506,0.000001598836,0.000002920499,0.00002068168,0.00002169703,0.001824703,0.9964914,0.00001545388,0.0002878678,0.000003692734],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956884,0.0002645649,0.002335715,0.00006027094,0.00002017623,0.000005770924,0.000237971,0.0001180327,0.001269096],"genre_scores_gemma":[0.9967745,0.0001633693,0.001364312,0.00001526064,0.000004299321,0.00000873004,0.0001046591,0.00001405487,0.001550833],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001978831,"threshold_uncertainty_score":0.003991663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00341955555171929,"score_gpt":0.2136165152105489,"score_spread":0.2101969596588296,"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."}}