{"id":"W3186801986","doi":"10.1021/acsami.1c05892","title":"Enhancing Singlet Oxygen Photocatalysis with Plasmonic Nanoparticles","year":2021,"lang":"en","type":"article","venue":"ACS Applied Materials & Interfaces","topic":"Advanced Photocatalysis Techniques","field":"Energy","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Centre in Green Chemistry and Catalysis","funders":"Fonds de recherche du Québec – Nature et technologies; Canada Foundation for Innovation; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Materials science; Plasmon; Photocatalysis; Singlet oxygen; Catalysis; Nanoparticle; Photochemistry; Plasmonic nanoparticles; Context (archaeology); Nanotechnology; Ruthenium; Oxygen; Optoelectronics; Organic chemistry; 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":[0.0002529463,0.0004192632,0.0006583001,0.0001028387,0.0001818103,0.0002638552,0.0004186431,0.0001459011,0.001050316],"category_scores_gemma":[0.00004181924,0.0003633758,0.00002989079,0.0003888896,0.0001560943,0.0002452419,0.0003126184,0.0001268026,0.0003543964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001084781,"about_ca_system_score_gemma":0.00006912897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003402224,"about_ca_topic_score_gemma":0.001121601,"domain_scores_codex":[0.9976491,0.00007276492,0.0006381249,0.0007601297,0.0003258625,0.000553999],"domain_scores_gemma":[0.9985168,0.0001112735,0.0002889525,0.0008771726,0.0001218724,0.0000839137],"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":[0.0002292711,0.00009607055,0.000008054581,0.00005940642,0.00020252,0.00002763116,0.0004511076,0.0003174591,0.9956982,0.002027462,0.00007147367,0.0008113401],"study_design_scores_gemma":[0.0003880707,0.00006985235,0.00001563794,0.00009222981,0.0001342445,0.0000285981,0.0005361124,9.417554e-7,0.9950143,0.002257392,0.0009970774,0.0004655785],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949795,0.0001469082,0.000233866,0.00006129162,0.0001025004,0.0003610394,0.00002800135,0.0005424502,0.00354447],"genre_scores_gemma":[0.9915446,0.0000528663,0.007010993,0.0002097537,0.00007369767,0.0005065263,0.0001309048,0.0001059833,0.0003646938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006777127,"threshold_uncertainty_score":0.9998818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0102117307638163,"score_gpt":0.2374666718031465,"score_spread":0.2272549410393302,"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."}}