{"id":"W2599939405","doi":"10.1002/anie.201611946","title":"From Millimeter to Subnanometer: Vapor–Solid Deposition of Carbon Nitride Hierarchical Nanostructures Directed by Supramolecular Assembly","year":2017,"lang":"en","type":"article","venue":"Angewandte Chemie International Edition","topic":"Advanced Photocatalysis Techniques","field":"Energy","cited_by":107,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Australian Research Council","keywords":"Nanostructure; Materials science; Nanotechnology; Chemical vapor deposition; Supramolecular chemistry; Nanoporous; Nitride; Carbon nitride; Graphitic carbon nitride; Deposition (geology); Carbon fibers; Thin film; Chemical engineering; Chemistry; Molecule; Photocatalysis; Organic chemistry; Layer (electronics); Catalysis","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":[0.00005768085,0.0001581341,0.0001157629,0.0001273812,0.0001036024,0.0001934076,0.0002001833,0.0001521322,0.0009648932],"category_scores_gemma":[0.0001012385,0.0001369806,0.0001045741,0.00006819358,0.0001396277,0.0001783803,0.0002758882,0.0003065559,0.0002796457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003038125,"about_ca_system_score_gemma":0.0001945611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000490736,"about_ca_topic_score_gemma":0.001527445,"domain_scores_codex":[0.9999499,0.000003479801,0.000004459154,0.00001518667,0.00001813176,0.000008879282],"domain_scores_gemma":[0.9999399,0.00001675037,0.00001693113,0.000008821134,0.000008380196,0.000009285804],"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":[0.00000861192,0.000006380846,0.00006164346,0.00001644107,0.000001372366,0.00001783018,0.000007798973,0.0003499381,0.9977404,0.0002161974,0.00005338298,0.001519946],"study_design_scores_gemma":[0.000005073031,0.00005046513,0.000791505,0.000002674723,0.000003744941,0.00003489023,0.000009759387,0.006253432,0.9909737,0.0001353052,0.00173491,0.000004466912],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9685135,0.0009471588,0.02089593,0.0001528334,0.0000668509,0.00002856707,0.0001477347,0.0005752516,0.008672182],"genre_scores_gemma":[0.9864001,0.0002936321,0.01169881,0.00003483107,0.000009388155,0.00001781219,0.00009929974,0.00002649143,0.001419603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009648932,"threshold_uncertainty_score":0.00322783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009448877345769057,"score_gpt":0.2796951183079103,"score_spread":0.2702462409621412,"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."}}