{"id":"W4387432439","doi":"10.1016/j.cej.2023.146530","title":"Biochar-supported photocatalysts: Performance optimization and applications in emerging contaminant removal from wastewater","year":2023,"lang":"en","type":"article","venue":"Chemical Engineering Journal","topic":"Advanced Photocatalysis Techniques","field":"Energy","cited_by":51,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biochar; Photocatalysis; Wastewater; Adsorption; Biochemical engineering; Environmental science; Carbon sequestration; Work (physics); Process engineering; Waste management; Computer science; Materials science; Nanotechnology; Environmental engineering; Carbon dioxide; Chemistry; Engineering; Pyrolysis; Catalysis; Mechanical engineering","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":[0.0001400217,0.0001647506,0.000211717,0.0002211136,0.00005073452,0.00003528446,0.0001577121,0.00009451664,0.00005298198],"category_scores_gemma":[0.00004485075,0.0001554339,0.00004415966,0.0004802692,0.00002650412,0.0001963836,0.00007161774,0.0003081771,0.00001291626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009655185,"about_ca_system_score_gemma":0.00001224056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002769161,"about_ca_topic_score_gemma":8.927465e-7,"domain_scores_codex":[0.998982,0.000007286643,0.0003636024,0.0002224445,0.0001463731,0.0002783209],"domain_scores_gemma":[0.9995408,0.00005113614,0.00007870959,0.0001845107,0.00003549474,0.0001093425],"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":[0.00001066304,0.00001527435,0.0001571104,0.00002233051,0.00002262205,0.00002548958,0.000186563,0.2757267,0.7223328,0.00003332951,0.00002710834,0.001439948],"study_design_scores_gemma":[0.0002748827,0.000007009538,0.0001056494,0.000076137,0.00001364985,0.00005978277,0.00005208126,0.3458968,0.6518068,0.00004364712,0.001498502,0.0001649729],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.918134,0.0001471776,0.08102395,0.00003447727,0.00005577824,0.000195888,0.00000615028,0.0003134001,0.00008922193],"genre_scores_gemma":[0.9669571,0.0002476993,0.03215477,0.0000122077,0.000161981,0.000113295,0.000240915,0.00005289362,0.00005916361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07052596,"threshold_uncertainty_score":0.6338409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006910429695970761,"score_gpt":0.2228923043208565,"score_spread":0.2159818746248858,"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."}}