{"id":"W4366321715","doi":"10.1039/d3ta00396e","title":"CdS based 3D nano/micro-architectures: formation mechanism, tailoring of visible light activities and emerging applications in photocatalytic H<sub>2</sub> production, CO<sub>2</sub> reduction and organic pollutant degradation","year":2023,"lang":"en","type":"article","venue":"Journal of Materials Chemistry A","topic":"Advanced Photocatalysis Techniques","field":"Energy","cited_by":99,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Institut National de la Recherche Scientifique","funders":"","keywords":"Photocatalysis; Degradation (telecommunications); Pollutant; Reduction (mathematics); Visible spectrum; Mechanism (biology); Materials science; Nano-; Environmental chemistry; Photochemistry; Chemical engineering; Environmental science; Nanotechnology; Chemistry; Catalysis; Optoelectronics; Computer science; Physics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006699787,0.0002412136,0.0004398226,0.0003658376,0.0001412524,0.00007256803,0.0001351076,0.0001368099,0.000011432],"category_scores_gemma":[0.0001268296,0.0002376509,0.00005471407,0.0005806824,0.00006828851,0.0004860648,0.00005518064,0.000168204,0.000001166485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001824763,"about_ca_system_score_gemma":0.00008409156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009606539,"about_ca_topic_score_gemma":0.000007907905,"domain_scores_codex":[0.9982533,0.00006850025,0.0008803102,0.0002789665,0.0002837301,0.0002351821],"domain_scores_gemma":[0.998505,0.00005074296,0.000973243,0.0002653996,0.0001354941,0.00007012417],"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":[0.0001540479,0.00005139859,0.000008975117,0.0005713539,0.00003631908,0.00000253641,0.000453981,0.0006013328,0.9969652,0.00001339377,0.00001625591,0.001125152],"study_design_scores_gemma":[0.0003962476,0.00004425881,0.00004646007,0.0003026167,0.00007158853,0.0001855499,0.0006282858,0.00009306435,0.996684,0.001296762,0.00004779972,0.0002033315],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969443,0.00006143573,0.002248918,0.0001143946,0.00008063341,0.0004213417,0.0000241315,0.00009010403,0.00001470722],"genre_scores_gemma":[0.9984591,0.0003273935,0.0008066051,0.000005659628,0.0001581404,0.0001101856,0.00007968822,0.00004486147,0.000008389327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001514743,"threshold_uncertainty_score":0.9691122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008091243738674545,"score_gpt":0.2367442202872892,"score_spread":0.2286529765486146,"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."}}