{"id":"W4385164079","doi":"10.1016/j.apcatb.2023.123122","title":"SMSI-induced charge transfer for selective hydrogenolysis of polyolefins","year":2023,"lang":"en","type":"article","venue":"Applied Catalysis B: Environmental","topic":"Catalysis for Biomass Conversion","field":"Engineering","cited_by":64,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Hydrogenolysis; Polyolefin; Catalysis; Dehydrogenation; Materials science; Desorption; Chemical engineering; Photochemistry; Chemistry; Organic chemistry; Nanotechnology; Adsorption; Layer (electronics)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001546189,0.0003173267,0.0004708773,0.0003952116,0.0001054538,0.0000118121,0.0002724025,0.0001641801,0.0001368779],"category_scores_gemma":[0.000002978774,0.0003556542,0.0004268087,0.0007371047,0.00007096613,0.0000937903,0.00006204715,0.0001105456,0.0005896373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002395876,"about_ca_system_score_gemma":0.00000880936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002160879,"about_ca_topic_score_gemma":0.00001362058,"domain_scores_codex":[0.9983185,0.000008890129,0.0004080928,0.0004490452,0.0003513093,0.0004641522],"domain_scores_gemma":[0.9992912,0.00006122277,0.00004383849,0.0004836631,0.000004973353,0.0001151339],"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":[0.00003182243,0.00007031029,0.000208014,0.00003895116,0.0006744709,0.000001683699,0.0006129897,0.0005779039,0.9919132,0.00008297233,0.0004796673,0.005307997],"study_design_scores_gemma":[0.0008215092,0.00004054614,0.0009612684,0.000003396449,0.0004301341,0.000002022451,0.0003492518,0.00476601,0.9912606,0.00003532176,0.000972839,0.0003571215],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968005,0.00006898018,0.000924575,0.00002153912,0.00008006814,0.0004999866,0.0003963985,0.0003186213,0.0008893147],"genre_scores_gemma":[0.9969198,0.00006747741,0.000073033,0.00001976063,0.00004730109,0.0002708269,0.002387117,0.00009852303,0.000116155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004950876,"threshold_uncertainty_score":0.9998896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006949428712254351,"score_gpt":0.1743465489396133,"score_spread":0.167397120227359,"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."}}