{"id":"W2946502384","doi":"10.1002/advs.201900289","title":"Living Atomically Dispersed Cu Ultrathin TiO <sub>2</sub> Nanosheet CO <sub>2</sub> Reduction Photocatalyst","year":2019,"lang":"en","type":"article","venue":"Advanced Science","topic":"Advanced Photocatalysis Techniques","field":"Energy","cited_by":163,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Key Research and Development Program of China; Ministero dello Sviluppo Economico; Natural Science Foundation of Shandong Province; Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Research, Innovation and Science; National Natural Science Foundation of China","keywords":"Nanosheet; Photocatalysis; Materials science; Nanotechnology; Aqueous solution; Noble metal; Metal; Chemical engineering; Catalysis; Metallurgy; Chemistry; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001187314,0.0006751423,0.0007087134,0.000578392,0.0006937612,0.0002245087,0.001574894,0.000250544,0.00004594722],"category_scores_gemma":[0.0005635727,0.0006884283,0.0002760915,0.002794153,0.001265427,0.003271037,0.0003236391,0.0006548612,0.001047637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007959796,"about_ca_system_score_gemma":0.000382244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008857861,"about_ca_topic_score_gemma":0.0001224939,"domain_scores_codex":[0.9941467,0.0001412755,0.0009235296,0.002038116,0.001374814,0.001375565],"domain_scores_gemma":[0.9962802,0.0002936719,0.0005777328,0.001970635,0.0004230608,0.0004547283],"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":[0.00007696669,0.0001411934,0.0002088123,0.00003200814,0.0000198918,0.00000883961,0.0005542298,0.0045986,0.9783564,0.001734277,0.0000768711,0.01419189],"study_design_scores_gemma":[0.000461645,0.0001693495,0.0006781641,0.000218992,0.0000329597,0.00006368006,0.0004210797,0.00188611,0.9926182,0.001834871,0.000736948,0.0008780221],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873783,0.00009339155,0.004383649,0.00004418343,0.0006800896,0.001362143,0.00001848622,0.001016603,0.005023164],"genre_scores_gemma":[0.9944723,0.0001726476,0.004307701,0.0002373766,0.0001282063,0.0003224904,0.00006612016,0.0001186573,0.0001745078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01426176,"threshold_uncertainty_score":0.9997302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007020948949970016,"score_gpt":0.2511844030185668,"score_spread":0.2441634540685968,"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."}}