{"id":"W4321435526","doi":"10.1021/acsami.3c00183","title":"Hydrophobic Polyhedral Oligomeric Silsesquioxane Support Enhanced Methanol Production from CO<sub>2</sub> Hydrogenation","year":2023,"lang":"en","type":"article","venue":"ACS Applied Materials & Interfaces","topic":"Catalytic Processes in Materials Science","field":"Materials Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates","keywords":"Silsesquioxane; Materials science; Methanol; Siloxane; Catalysis; Chemical engineering; Calcination; Selectivity; Syngas; Nanoparticle; Organic chemistry; Nanotechnology; Polymer; Composite material; 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":["insufficient_payload"],"category_scores_codex":[0.001787209,0.0006642056,0.0008955785,0.0004052579,0.0003724701,0.0007246325,0.00135076,0.0002318331,0.001897038],"category_scores_gemma":[0.0002673229,0.0006348268,0.0000431806,0.0009923293,0.0005505328,0.000940371,0.0006401988,0.0001516113,0.01227227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002287023,"about_ca_system_score_gemma":0.000191406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001428918,"about_ca_topic_score_gemma":0.00002059923,"domain_scores_codex":[0.9947057,0.0001561531,0.001241425,0.001690341,0.001061568,0.001144833],"domain_scores_gemma":[0.9976227,0.0001748374,0.0007770728,0.00108456,0.0001687573,0.0001720348],"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":[0.0002346323,0.00007664362,0.00000182699,0.0001243192,0.00002887896,0.00000958469,0.001066333,0.0002121481,0.9963123,0.00009319405,0.001215692,0.0006244062],"study_design_scores_gemma":[0.0004386685,0.0001151271,0.00007329775,0.00006714376,0.00006713513,0.00002616529,0.0003546031,0.000004931518,0.994997,0.003066577,0.00008014942,0.0007092368],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903414,0.00004518336,0.0001092845,0.0002420133,0.005881041,0.001013517,0.0004328196,0.001303623,0.0006311738],"genre_scores_gemma":[0.9972235,0.0001724253,0.0002890411,0.0001362514,0.0007801706,0.0005722441,0.0004773459,0.0001163245,0.0002327226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01037523,"threshold_uncertainty_score":0.9996103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01327465508719468,"score_gpt":0.259144359240531,"score_spread":0.2458697041533364,"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."}}