{"id":"W2093587806","doi":"10.1016/j.jallcom.2010.09.068","title":"Fast and slow dehydrogenation of ball milled lithium alanate (LiAlH4) catalyzed with manganese chloride (MnCl2) as compared to nanometric nickel catalyst","year":2010,"lang":"en","type":"article","venue":"Journal of Alloys and Compounds","topic":"Hydrogen Storage and Materials","field":"Materials Science","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dehydrogenation; Catalysis; Chemistry; Nanocomposite; Manganese; Ball mill; Inorganic chemistry; Desorption; Amorphous solid; Chemical engineering; Materials science; Physical chemistry; Metallurgy; Organic chemistry; Adsorption","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":[0.000882912,0.0002137322,0.000620411,0.0003917631,0.0001298335,0.000166934,0.0002951682,0.00008832736,0.00006938996],"category_scores_gemma":[0.00007820007,0.0001547115,0.00006783307,0.0003355441,0.0001284929,0.0003211653,0.0001083167,0.0001439835,0.00001420943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000284757,"about_ca_system_score_gemma":0.0001093945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004317808,"about_ca_topic_score_gemma":0.0002684498,"domain_scores_codex":[0.9983451,0.00005989521,0.0006491661,0.0002373236,0.0004509622,0.0002575867],"domain_scores_gemma":[0.9984695,0.00008361282,0.0005582894,0.000232389,0.0003413167,0.0003148695],"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":[0.0005958267,0.00009497563,0.0006556769,0.00005634675,0.00006295671,0.00007879687,0.0009703742,0.00003242031,0.9970317,0.0001024741,0.0001672896,0.0001512027],"study_design_scores_gemma":[0.002208326,0.0005199398,0.00299929,0.00009818756,0.0001467203,0.00132917,0.0003612019,0.00007555116,0.9885516,0.0001640179,0.00323949,0.0003064882],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984798,0.0002418647,0.00009720229,0.0002303196,0.0005428186,0.0001765809,0.00003183211,0.00001277688,0.0001867494],"genre_scores_gemma":[0.9981848,0.00006670359,0.001239214,0.00009020936,0.0001757457,0.000004922776,0.00001178153,0.00002090602,0.0002057071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008480043,"threshold_uncertainty_score":0.630895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006884385765998371,"score_gpt":0.2263447815005279,"score_spread":0.2194603957345295,"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."}}