{"id":"W3108606708","doi":"10.1038/s41467-020-19997-y","title":"Bismuth atom tailoring of indium oxide surface frustrated Lewis pairs boosts heterogeneous CO2 photocatalytic hydrogenation","year":2020,"lang":"en","type":"article","venue":"Nature Communications","topic":"Advanced Photocatalysis Techniques","field":"Energy","cited_by":290,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Toronto; Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Ministero dello Sviluppo Economico; Lions Clubs International Foundation","keywords":"Photocatalysis; Catalysis; Oxide; Materials science; Lewis acids and bases; Molecule; Bismuth; Frustrated Lewis pair; Photochemistry; Nanotechnology; Indium; Inorganic chemistry; Chemistry; Organic chemistry; Optoelectronics","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"],"consensus_categories":[],"category_scores_codex":[0.0002029713,0.0002956429,0.0004028764,0.0001351946,0.0002219672,0.00003363068,0.001744095,0.0004515249,0.00004085299],"category_scores_gemma":[0.0002358614,0.0003213619,0.0001760541,0.001215599,0.0001749433,0.0002644336,0.0005140299,0.001111578,0.00004998843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001484803,"about_ca_system_score_gemma":0.0000919185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005246537,"about_ca_topic_score_gemma":0.0009868244,"domain_scores_codex":[0.9981186,0.0001894824,0.0006332661,0.0004032461,0.0003579979,0.0002974334],"domain_scores_gemma":[0.9964664,0.000292887,0.0004340186,0.002320456,0.0003135288,0.0001727265],"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":[0.0001343043,0.0005584167,0.004513782,0.0001189905,0.0006579062,0.000015273,0.002257768,0.01766655,0.9527815,0.01860169,0.001136394,0.001557409],"study_design_scores_gemma":[0.0003585957,0.00007729459,0.0003447416,0.00004890655,0.0001154233,0.00001010175,0.0001516432,0.008377663,0.9602886,0.0006619475,0.02920687,0.0003582499],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989279,0.00265704,0.0007418437,0.001451668,0.00005367536,0.0009940549,0.00009405868,0.0008309057,0.003897776],"genre_scores_gemma":[0.9867782,0.0003190868,0.01161997,0.0004274914,0.00002233342,0.0001013879,0.0006182379,0.00007382072,0.00003946047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02807048,"threshold_uncertainty_score":0.9999238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03027853992803737,"score_gpt":0.2932532444577133,"score_spread":0.262974704529676,"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."}}