{"id":"W1998215889","doi":"10.1016/j.jallcom.2006.12.054","title":"Enhanced hydrogen reaction kinetics of nanostructured Mg-based composites with nanoparticle metal catalysts dispersed on supports","year":2006,"lang":"en","type":"article","venue":"Journal of Alloys and Compounds","topic":"Hydrogen Storage and Materials","field":"Materials Science","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; Dalhousie University; National Research Council Canada","funders":"","keywords":"Catalysis; Materials science; Kinetics; Nanoparticle; Metal; Composite material; Nanocomposite; Chemical kinetics; Chemical engineering; Nanotechnology; Chemistry; Metallurgy; Organic chemistry","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":[0.0002254642,0.0001537223,0.0003914222,0.00007220818,0.00006127767,0.00005570719,0.0001211226,0.00005338237,0.00003796979],"category_scores_gemma":[0.000009375362,0.0001067118,0.00007307033,0.00009362029,0.0001088452,0.0001605963,0.00001778931,0.00006080669,0.000002757177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003202416,"about_ca_system_score_gemma":0.00004473052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007494402,"about_ca_topic_score_gemma":0.00004258284,"domain_scores_codex":[0.9987286,0.00007220177,0.0005052785,0.0001472679,0.0003627475,0.0001839496],"domain_scores_gemma":[0.9990202,0.0000421399,0.0005467181,0.0001544037,0.0001487237,0.00008786816],"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":[0.0005023832,0.0001922187,0.000150704,0.0000247137,0.00002760617,0.00005253252,0.00007989577,0.0003515212,0.998386,0.00007772824,0.0001164247,0.00003830666],"study_design_scores_gemma":[0.001083635,0.001077596,0.001278982,0.00006258446,0.0001028533,0.0001577732,0.00003125906,0.00004230432,0.9955493,0.0001412546,0.0003439736,0.0001284479],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991707,0.000097991,0.0001436403,0.00009719876,0.0002352617,0.00008680938,0.00001474299,0.00001201721,0.0001415944],"genre_scores_gemma":[0.9990621,0.000004820142,0.0007144361,0.00005734944,0.0001040968,0.00000162573,0.00001061854,0.00001461482,0.00003039837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002836629,"threshold_uncertainty_score":0.435158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005256638037220271,"score_gpt":0.2084372793613687,"score_spread":0.2031806413241484,"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."}}