{"id":"W4389636712","doi":"10.1016/j.jwpe.2023.104597","title":"Design and optimization of TiO2-based photocatalysts for efficient removal of pharmaceutical pollutants in water: Recent developments and challenges","year":2023,"lang":"en","type":"article","venue":"Journal of Water Process Engineering","topic":"Advanced Photocatalysis Techniques","field":"Energy","cited_by":105,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Photocatalysis; Pollutant; Water treatment; Environmental science; Water pollutants; Biochemical engineering; Environmental chemistry; Nanotechnology; Materials science; Chemistry; Environmental engineering; Catalysis; Engineering; Organic chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004653251,0.0004671995,0.0005050515,0.0002412887,0.0001766085,0.001006866,0.0005568542,0.000600691,0.0003496254],"category_scores_gemma":[0.0003347388,0.0002793763,0.0005195381,0.0003168121,0.0002165399,0.0004795173,0.0002721079,0.0005721262,0.0002978752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007171599,"about_ca_system_score_gemma":0.0004074871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00118123,"about_ca_topic_score_gemma":0.003239361,"domain_scores_codex":[0.9997041,0.00003375495,0.00003217328,0.0000607912,0.0001144714,0.00005462624],"domain_scores_gemma":[0.9998958,0.00001630031,0.0000278799,0.000009806722,0.00003698111,0.0000132095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007818027,0.0001089544,0.0002358263,0.0002157696,0.00002755048,0.00004068215,0.00001509747,0.001662555,0.9883761,0.0002809238,0.0001099061,0.008848371],"study_design_scores_gemma":[0.00001782034,0.0002947953,0.0009381576,0.000009142663,0.00003515288,0.0000833668,0.00002942284,0.009159307,0.9843203,0.00009828005,0.005000911,0.00001323162],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.944707,0.02072602,0.02982905,0.0004622859,0.0001173812,0.0001228141,0.0002603587,0.0001695354,0.003605526],"genre_scores_gemma":[0.9631984,0.009636356,0.02310302,0.0001388914,0.00003509602,0.0000723518,0.0003867356,0.00006726709,0.003361775],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.00118123,"threshold_uncertainty_score":0.005203426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04137996437417735,"score_gpt":0.2938209296104898,"score_spread":0.2524409652363124,"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."}}