{"id":"W4376280005","doi":"10.1007/s10971-023-06131-9","title":"Upscaling TiO2 sol-gel technology to make it a competitive way for coating manufacture and processing at an industrial scale","year":2023,"lang":"en","type":"article","venue":"Journal of Sol-Gel Science and Technology","topic":"TiO2 Photocatalysis and Solar Cells","field":"Energy","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Université de Liège; Fonds De La Recherche Scientifique - FNRS","keywords":"Photocatalysis; Coating; Materials science; Sol-gel; Process engineering; Crystallinity; Nanotechnology; Environmentally friendly; Chemical engineering; Composite material; Catalysis; Engineering; Chemistry; 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":[0.00137196,0.0002078034,0.0004777705,0.001583362,0.0007397394,0.000156089,0.0005416695,0.0004447867,0.00001367152],"category_scores_gemma":[0.0004894298,0.0001701349,0.00005419394,0.001707226,0.0007907524,0.0003581764,0.0003886989,0.0004998566,0.000008490413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001285347,"about_ca_system_score_gemma":0.0001902445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002025404,"about_ca_topic_score_gemma":0.0004238434,"domain_scores_codex":[0.9979517,0.00002219628,0.0005437069,0.0004713277,0.0004008859,0.0006101287],"domain_scores_gemma":[0.9985941,0.00008760474,0.0003978164,0.0002286126,0.0004944548,0.0001974285],"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":[0.0001668048,0.0001140749,0.008778912,0.00005964902,0.00005394786,0.00007351772,0.002295023,0.0003596915,0.6627838,0.004047685,0.0004568429,0.32081],"study_design_scores_gemma":[0.004676235,0.002923297,0.00229119,0.0006704271,0.0002187502,0.001393662,0.03079095,0.01173215,0.764024,0.02300089,0.1571652,0.001113269],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992188,0.0001312574,0.0006918511,0.00588331,0.0001885435,0.000290035,0.00001003392,0.0001196969,0.0004972831],"genre_scores_gemma":[0.9958745,0.00005646748,0.00338838,0.0002092067,0.000157432,0.00002321936,0.000003186797,0.00002120866,0.0002664574],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3196968,"threshold_uncertainty_score":0.6937898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02588698911692006,"score_gpt":0.2937304201510569,"score_spread":0.2678434310341368,"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."}}