{"id":"W2102604498","doi":"10.1002/adma.200390015","title":"Preparation of Large‐Area 3D Ordered Macroporous Titania Films by Silica Colloidal Crystal Templating","year":2003,"lang":"en","type":"article","venue":"Advanced Materials","topic":"Mesoporous Materials and Catalysis","field":"Materials Science","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Allison University; Université de Moncton","funders":"","keywords":"Materials science; Colloidal crystal; Polystyrene; Colloid; Template; Shrinkage; SPHERES; Chemical engineering; Nanotechnology; Template method pattern; Composite material; Polymer","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":[0.00006568043,0.0002185928,0.0001906508,0.0001563174,0.000175961,0.0002467647,0.0002043911,0.0002124313,0.001448877],"category_scores_gemma":[0.00009884215,0.0002961787,0.0002692698,0.0001011778,0.0001312697,0.0001602974,0.000194409,0.000416061,0.0006382084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002383673,"about_ca_system_score_gemma":0.0002598201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009674061,"about_ca_topic_score_gemma":0.002996676,"domain_scores_codex":[0.9999541,0.00000144851,0.000003106616,0.00001094143,0.00001842565,0.00001196297],"domain_scores_gemma":[0.9999408,0.00001170005,0.00001073918,0.000007406797,0.00001021372,0.00001920459],"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":[0.000003757633,0.000002260997,0.00001306457,0.00001264339,0.000001662027,0.00002431632,0.000006205828,0.0000362348,0.9995233,0.00002790579,0.00003340577,0.0003152239],"study_design_scores_gemma":[0.00001037845,0.00003412389,0.000687227,0.000001606139,0.000005893935,0.00008916205,0.000007047607,0.001006712,0.9967354,0.0000286404,0.001389708,0.000004067693],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9712752,0.0008805844,0.01936284,0.00015965,0.0001020866,0.0001071237,0.0008454355,0.0005313338,0.006735838],"genre_scores_gemma":[0.9729654,0.001000061,0.02088014,0.00008606999,0.00003193626,0.00008478094,0.0008503775,0.0001295296,0.003971749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001448877,"threshold_uncertainty_score":0.004846931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007332750595632238,"score_gpt":0.2712275336449978,"score_spread":0.2638947830493655,"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."}}