{"id":"W1756565929","doi":"","title":"Mechano-chemical synthesis of nanostructured hydride composites based on Li-Al-N-Mg for solid state hydrogen storage","year":2011,"lang":"en","type":"article","venue":"University of Zagreb University Computing Centre (SRCE)","topic":"Hydrogen Storage and Materials","field":"Materials Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Hydride; Hydrogen storage; Ball mill; Magnesium hydride; Lithium amide; Nanocrystalline material; Lithium hydride; Materials science; Hydrogen; Composite number; Lithium (medication); Magnesium; Chemical engineering; Inorganic chemistry; Chemistry; Composite material; Catalysis; Metallurgy; Organic chemistry; Nanotechnology; Ion","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005674713,0.0001718835,0.0001543304,0.0001534886,0.0001373601,0.0001339989,0.000148355,0.0001584522,0.0009075631],"category_scores_gemma":[0.0000671617,0.0001449667,0.0001888702,0.0001260396,0.0001188383,0.0001203674,0.0001338779,0.0002094257,0.0002487836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002161769,"about_ca_system_score_gemma":0.0001383048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003077457,"about_ca_topic_score_gemma":0.001443161,"domain_scores_codex":[0.9999503,0.000003097291,0.000003607664,0.00001131618,0.00002066509,0.0000111133],"domain_scores_gemma":[0.9999583,0.00000551558,0.00001273636,0.00000388038,0.000007883746,0.00001174061],"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":[0.00001759126,0.000004984375,0.00003613608,0.00002459934,0.000001392232,0.00001450025,0.000005555113,0.00007092543,0.9993463,0.00003189387,0.000008585093,0.0004374086],"study_design_scores_gemma":[0.000005781277,0.00008088007,0.001089533,0.000001795635,0.000004375297,0.00003637185,0.000007595208,0.0006204523,0.9973471,0.00001518181,0.0007881486,0.000002657642],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937929,0.0003584968,0.002826942,0.00002936562,0.00003273232,0.00002535957,0.0001352368,0.000121404,0.002677476],"genre_scores_gemma":[0.9948217,0.0001308957,0.003599677,0.00001418918,0.000005473841,0.00002575609,0.00009355211,0.0000206689,0.00128819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009075631,"threshold_uncertainty_score":0.003036141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009388860004420676,"score_gpt":0.1818242959404417,"score_spread":0.172435435936021,"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."}}