{"id":"W2094046471","doi":"10.1021/jp807900r","title":"Hydrogen Motion in Magnesium Hydride by NMR","year":2008,"lang":"en","type":"article","venue":"The Journal of Physical Chemistry C","topic":"Hydrogen Storage and Materials","field":"Materials Science","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Activation energy; Paramagnetism; Magnesium hydride; Hydride; Ball mill; Hydrogen; Chemistry; Kinetics; Relaxation (psychology); Catalysis; Hydrogen storage; Analytical Chemistry (journal); Materials science; Physical chemistry; Condensed matter physics; Metallurgy; Organic chemistry; Physics","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":[0.0001333108,0.0003019558,0.0001520338,0.0002672878,0.0001937882,0.0003171672,0.0002750939,0.0002986214,0.0008176079],"category_scores_gemma":[0.0001842402,0.0002111098,0.00009718136,0.00020928,0.000270464,0.0002599199,0.000244787,0.000248845,0.0001641617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002778696,"about_ca_system_score_gemma":0.00008295225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001752613,"about_ca_topic_score_gemma":0.002234748,"domain_scores_codex":[0.9999117,0.00001581408,0.000004316918,0.00002425571,0.00002633138,0.00001764481],"domain_scores_gemma":[0.9999492,0.00001235379,0.00001644284,0.000006549341,0.000008881723,0.000006528071],"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":[0.00006062339,0.000005906234,0.0002830552,0.00004359661,0.000005782565,0.0000430546,0.00004455443,0.0001888933,0.9973637,0.0001450246,0.00008431578,0.001731409],"study_design_scores_gemma":[0.000053339,0.0002871667,0.009258932,0.00002191959,0.00002943174,0.0001230927,0.0001210658,0.006804651,0.9775831,0.0003173536,0.005362642,0.00003729459],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931511,0.0009731213,0.002705108,0.00008357237,0.00002086896,0.00002134249,0.0003047996,0.00009589361,0.002644183],"genre_scores_gemma":[0.9958668,0.0005165928,0.002384753,0.00002492893,0.00001170375,0.0000152571,0.0001639687,0.00001055157,0.001005442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001752613,"threshold_uncertainty_score":0.003484845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009465926460670326,"score_gpt":0.2241119724038189,"score_spread":0.2146460459431486,"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."}}