{"id":"W2945612739","doi":"10.1002/advs.201802350","title":"Synergetic Effect of Ultrasmall Metal Clusters and Zeolites Promoting Hydrogen Generation","year":2019,"lang":"en","type":"article","venue":"Advanced Science","topic":"Hydrogen Storage and Materials","field":"Materials Science","cited_by":111,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Argonne National Laboratory; National Natural Science Foundation of China; U.S. Department of Energy","keywords":"Ammonia borane; Catalysis; Zeolite; Nanomaterial-based catalyst; Incipient wetness impregnation; Aluminosilicate; Ruthenium; High-resolution transmission electron microscopy; Metal; Inorganic chemistry; Hydrolysis; Hydrogen; Chemical engineering; Materials science; Hydrogen production; Chemistry; Transmission electron microscopy; Nanotechnology; Organic chemistry; Selectivity","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":[],"consensus_categories":[],"category_scores_codex":[0.001481966,0.0001385213,0.0002663947,0.00008830075,0.0001379671,0.0000643849,0.0002764752,0.00003397292,0.000085981],"category_scores_gemma":[0.0002530485,0.0001071476,0.00003148041,0.0002621833,0.0003150449,0.000798607,0.0001119847,0.0000373281,0.00007154031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003021407,"about_ca_system_score_gemma":0.00005050497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001407127,"about_ca_topic_score_gemma":0.00000221092,"domain_scores_codex":[0.9984993,0.00009606043,0.0002632562,0.0004574657,0.0003488062,0.0003351288],"domain_scores_gemma":[0.9993066,0.0000932738,0.0001590483,0.0002737186,0.00006689991,0.0001004912],"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":[0.00001307356,0.000007937098,0.0005508477,0.00006047482,0.000001785118,0.000001752652,0.0002904648,0.0006773005,0.9972991,0.0001088565,7.06192e-7,0.0009877126],"study_design_scores_gemma":[0.0002828937,0.0002704032,0.00009734291,0.0000305276,0.00001313523,0.00001778551,0.00001920501,0.001998584,0.9970436,0.00004918192,0.00005090335,0.0001264245],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998638,0.0001743919,0.0001038478,0.00001704888,0.000424738,0.0003886659,0.000006124516,0.0000418566,0.0002053435],"genre_scores_gemma":[0.9979362,0.00001002816,0.00187915,0.000032117,0.0000337501,0.00001697591,0.000002295726,0.000009829741,0.00007962494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001775303,"threshold_uncertainty_score":0.4369352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005569866718988245,"score_gpt":0.2382510538975761,"score_spread":0.2326811871785879,"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."}}