{"id":"W3093940217","doi":"10.1039/d0sc04603e","title":"Titanosilicate zeolite precursors for highly efficient oxidation reactions","year":2020,"lang":"en","type":"article","venue":"Chemical Science","topic":"Zeolite Catalysis and Synthesis","field":"Chemistry","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Argonne National Laboratory; Office of Science; Higher Education Discipline Innovation Project; National Natural Science Foundation of China; European Commission; Canadian Light Source; National Key Research and Development Program of China; China Scholarship Council; U.S. Department of Energy","keywords":"Zeolite; Catalysis; Chemistry; Oxidative phosphorylation; Chemical engineering; Combinatorial chemistry; Organic chemistry; Biochemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.0001601868,0.0001018097,0.0001279715,0.00002484629,0.0001728359,0.00006860512,0.0004421072,0.00005804043,0.0001894354],"category_scores_gemma":[0.0009714753,0.00008911261,0.00009424736,0.0004782564,0.0002833646,0.0001076588,0.00007682774,0.00008102933,0.00006711639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009699631,"about_ca_system_score_gemma":0.0000579439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005712756,"about_ca_topic_score_gemma":9.772842e-8,"domain_scores_codex":[0.9987192,0.0000030535,0.0002115808,0.000476003,0.0002960593,0.0002940955],"domain_scores_gemma":[0.9991686,0.0001147519,0.00008056744,0.0002559647,0.0001104281,0.0002697296],"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":[0.00001184324,0.00003242158,0.00004366572,0.00003539482,0.000003527907,1.797528e-7,0.0002744322,0.0000272192,0.9966699,0.0006814023,0.0002598931,0.001960056],"study_design_scores_gemma":[0.0001008137,0.000005097595,0.00003774222,0.00001260247,0.00001651641,9.664968e-7,0.00006555771,0.009848702,0.9685389,0.0001045716,0.02115051,0.0001180143],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862698,0.00003893089,0.0008019743,0.001888573,0.00003596027,0.00007786046,0.00002645966,0.0001060248,0.01075441],"genre_scores_gemma":[0.9983612,0.000004335997,0.001041559,0.0001790896,0.0001310792,0.00004262696,0.00002388818,0.000008790367,0.0002074211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02813106,"threshold_uncertainty_score":0.3633907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0255386646940739,"score_gpt":0.2540432988458617,"score_spread":0.2285046341517878,"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."}}