{"id":"W4392088885","doi":"10.1016/j.molstruc.2024.137854","title":"Emerging silver-doped strontium titanate nanostructures as photocatalysts for the degradation of organic pollutants under visible light","year":2024,"lang":"en","type":"article","venue":"Journal of Molecular Structure","topic":"Advanced Photocatalysis Techniques","field":"Energy","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Research Foundation of Korea; Ministry of Science, ICT and Future Planning; King Saud University; CHEO Research Institute","keywords":"Chemistry; Degradation (telecommunications); Pollutant; Strontium titanate; Strontium; Doping; Nanostructure; Nanotechnology; Titanate; Visible spectrum; Chemical engineering; Environmental chemistry; Thin film; Optoelectronics; Organic chemistry; Ceramic","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000212402,0.0002857868,0.0004211134,0.0003095985,0.0001090772,0.0000882422,0.0005639471,0.0001696155,0.0002430802],"category_scores_gemma":[0.0001469065,0.0001878263,0.0003685634,0.00060159,0.00005838107,0.0002912647,0.00007042962,0.0003927542,0.00000191804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001347052,"about_ca_system_score_gemma":0.000190204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003571268,"about_ca_topic_score_gemma":0.0001150674,"domain_scores_codex":[0.9981441,0.00006768244,0.0006891009,0.000260173,0.0005617107,0.0002771881],"domain_scores_gemma":[0.9985498,0.0001079377,0.0005164329,0.0004433135,0.0003021838,0.00008028677],"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":[0.0001127875,0.000009577328,0.000005495561,0.00007338899,0.0006125254,0.00004618812,0.0001680952,0.005094019,0.9830514,0.004077255,0.0003859362,0.006363355],"study_design_scores_gemma":[0.0003542214,0.0001543279,0.00007898759,0.0001299311,0.0004106509,0.0002217958,0.0002616913,0.000549192,0.9660891,0.02597985,0.005579785,0.0001905214],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.854351,0.0131513,0.127995,0.001261813,0.001417722,0.001075266,0.0001166323,0.0001307283,0.0005005145],"genre_scores_gemma":[0.9942948,0.0001013917,0.00499143,0.0001411623,0.0001361469,0.000006873919,0.00001602264,0.00008232782,0.0002298743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1399438,"threshold_uncertainty_score":0.7659333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006135577543554407,"score_gpt":0.2720760736495496,"score_spread":0.2659404961059951,"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."}}