{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007970728,0.0003237197,0.0001520178,0.0002746659,0.0001003177,0.0001566228,0.0001857992,0.0002109362,0.001495384],"category_scores_gemma":[0.0001300601,0.0001736223,0.0001396402,0.0002147685,0.00008871582,0.0002200574,0.0001726272,0.0004796828,0.0004762173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001644189,"about_ca_system_score_gemma":0.0001969935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006135512,"about_ca_topic_score_gemma":0.003059592,"domain_scores_codex":[0.9999198,0.000004408869,0.000008891132,0.00001463555,0.00002958746,0.00002264633],"domain_scores_gemma":[0.9999532,0.000007000327,0.0000113797,0.000005132481,0.00001452099,0.000008811767],"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":[0.0000162074,0.000008643963,0.00007298531,0.00006711134,0.000003063731,0.0000565689,0.00001451419,0.00007920933,0.9978366,0.0001830633,0.00007564884,0.001586301],"study_design_scores_gemma":[0.000008288025,0.00004356154,0.0004729677,0.000004045834,0.000003725271,0.00005484362,0.00001058991,0.0005499948,0.9956637,0.00003714446,0.003148097,0.000003086913],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.969842,0.002400082,0.01742531,0.0001504855,0.0001084995,0.0001541374,0.0008092501,0.0003705746,0.008739801],"genre_scores_gemma":[0.9861134,0.001314295,0.008677531,0.00003578526,0.00001401354,0.00003687317,0.0006862793,0.000064332,0.003057621],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001495384,"threshold_uncertainty_score":0.005002558,"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."}}