{"id":"W1992194753","doi":"10.1007/s10853-009-3630-5","title":"Transformation of microporous titanium glycolate nanorods into mesoporous anatase titania nanorods by hot water treatment","year":2009,"lang":"en","type":"article","venue":"Journal of Materials Science","topic":"Advanced Photocatalysis Techniques","field":"Energy","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"Mount Allison University; Montreal Clinical Research Institute; Université de Moncton","funders":"","keywords":"Nanorod; Materials science; Mesoporous material; Anatase; Microporous material; Chemical engineering; Titanium; Ethylene glycol; Photocatalysis; X-ray photoelectron spectroscopy; Raman spectroscopy; Nanotechnology; Catalysis; Organic chemistry; Chemistry; Composite material; Metallurgy","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":[0.00006302272,0.0002495942,0.0001887141,0.0001548199,0.0001145628,0.0002012379,0.0002335474,0.0002615878,0.001132431],"category_scores_gemma":[0.0001021287,0.0001975725,0.0002906889,0.0001055717,0.0001133488,0.0002380421,0.0001179321,0.0002561265,0.0003077762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002707201,"about_ca_system_score_gemma":0.0001548459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001080978,"about_ca_topic_score_gemma":0.002586039,"domain_scores_codex":[0.9999104,0.000003644893,0.000007543727,0.00002286617,0.00002561825,0.00002999441],"domain_scores_gemma":[0.999954,0.000008464234,0.00001390054,0.000006324563,0.000009501231,0.000007727424],"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":[0.00002158293,0.000004230665,0.00003104944,0.00001724309,0.000002356425,0.00002438465,0.000009010833,0.00003671156,0.9992323,0.00003422024,0.00002430381,0.0005627123],"study_design_scores_gemma":[0.000003327021,0.00003807542,0.000352917,6.709609e-7,0.000003343242,0.00002346042,0.00000717194,0.0002802804,0.9988551,0.00001328735,0.0004203682,0.000002093563],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928902,0.0004524185,0.003819463,0.00005914975,0.00005444647,0.00003130865,0.0002423406,0.000212329,0.002238312],"genre_scores_gemma":[0.9959878,0.0001226602,0.001690134,0.00001712496,0.000005100529,0.000008736155,0.00013637,0.00003936569,0.001992689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001132431,"threshold_uncertainty_score":0.003788352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007204123119882293,"score_gpt":0.2702791448264993,"score_spread":0.2630750217066171,"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."}}