{"id":"W2016714295","doi":"10.1016/j.ijhydene.2012.03.160","title":"Hydrogenation of LiH/Al catalyzed with TiN, TiMn2 and LaNi5","year":2012,"lang":"en","type":"article","venue":"International Journal of Hydrogen Energy","topic":"Hydrogen Storage and Materials","field":"Materials Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hydrogen storage; Tin; Catalysis; Dehydrogenation; Ball mill; Hydrogen; Doping; Chemistry; Materials science; Inorganic chemistry; Chemical engineering; Metallurgy; Organic chemistry","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":[0.0005589417,0.0001320655,0.0002624037,0.0001796634,0.00003247065,0.00003951652,0.0003133001,0.00005495336,0.0003168028],"category_scores_gemma":[0.00005068651,0.0000989205,0.00006593348,0.00006837845,0.00008166098,0.0005516183,0.00007747737,0.0000524501,0.00001611754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004990741,"about_ca_system_score_gemma":0.00006934509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001219165,"about_ca_topic_score_gemma":0.00001581033,"domain_scores_codex":[0.9985099,0.00007478528,0.0005035864,0.000112551,0.000601041,0.0001981275],"domain_scores_gemma":[0.9987381,0.00005167385,0.0005959411,0.0001112997,0.0003571838,0.0001458675],"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":[0.0002071569,0.0001204124,0.0010861,0.000006017895,0.0001272243,0.00005645361,0.0003491601,0.0001691519,0.9949985,0.00165053,0.0002716902,0.0009576676],"study_design_scores_gemma":[0.0006781485,0.00009908534,0.0001206076,0.00004410461,0.00004455644,0.001199897,0.00004486434,0.00005181674,0.9814004,0.0002033033,0.01599335,0.0001198915],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973277,0.0007058219,0.0006853517,0.0001942764,0.0006282363,0.00003048977,0.00002715882,0.00001163217,0.0003893083],"genre_scores_gemma":[0.9982147,0.00009085398,0.0009325767,0.0001916463,0.0004641348,0.000002842985,0.00001264695,0.00001815045,0.00007249219],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01572166,"threshold_uncertainty_score":0.4033861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009630133411128746,"score_gpt":0.2454039243107157,"score_spread":0.2357737908995869,"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."}}