{"id":"W2510229876","doi":"10.1021/acscatal.5b00869","title":"Role of Metal–Support Interactions, Particle Size, and Metal–Metal Synergy in CuNi Nanocatalysts for H<sub>2</sub> Generation","year":2015,"lang":"en","type":"article","venue":"ACS Catalysis","topic":"Hydrogen Storage and Materials","field":"Materials Science","cited_by":178,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nanomaterial-based catalyst; Ammonia borane; Catalysis; Bimetallic strip; Dehydrogenation; Materials science; Hydrazine (antidepressant); Metal; Chemical engineering; Inorganic chemistry; Mesoporous material; Hydrogen production; Hydrogen storage; Particle size; Chemistry; Organic chemistry; Metallurgy; Alloy","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":[0.0001700105,0.0002448283,0.0002913259,0.0001967505,0.0002342959,0.0004563309,0.0002946224,0.0002595113,0.0007827615],"category_scores_gemma":[0.0005266118,0.0002290666,0.0001217127,0.0001236554,0.0002908378,0.0003259121,0.0002924198,0.0001986272,0.0002247856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003581347,"about_ca_system_score_gemma":0.0001637076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007884188,"about_ca_topic_score_gemma":0.001959057,"domain_scores_codex":[0.9998764,0.00001839121,0.00001243704,0.00002917647,0.00004011551,0.00002344744],"domain_scores_gemma":[0.9998134,0.00007874236,0.00004111537,0.00001573091,0.00002666523,0.00002440591],"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":[0.0001183274,0.00001287052,0.0003998702,0.00004509805,0.000009672864,0.00004438066,0.00002427166,0.0002504975,0.9947414,0.0001736795,0.00005111536,0.004128628],"study_design_scores_gemma":[0.000006824004,0.0000359128,0.00100314,0.000001619925,0.00001234277,0.00004891011,0.00001394745,0.002726419,0.9956809,0.00003887257,0.0004272881,0.000003869379],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954982,0.0006720842,0.002103593,0.00005790303,0.00001577142,0.00001066704,0.00003093606,0.00007843744,0.001532437],"genre_scores_gemma":[0.9980897,0.0001265667,0.001438604,0.00001061177,0.000005673278,0.000005345759,0.00001838956,0.00001496357,0.0002899841],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007884188,"threshold_uncertainty_score":0.002618611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02305240944974796,"score_gpt":0.2616121625702226,"score_spread":0.2385597531204746,"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."}}