{"id":"W2321797771","doi":"10.1021/cm300425z","title":"Multivalent Manganese Hydrazide Gels for Kubas-Type Hydrogen Storage","year":2012,"lang":"en","type":"article","venue":"Chemistry of Materials","topic":"Hydrogen Storage and Materials","field":"Materials Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec; University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada; U.S. Department of Energy","keywords":"Hydrogen storage; Manganese; Hydrogen; Electron paramagnetic resonance; Chemistry; Adsorption; X-ray photoelectron spectroscopy; Analytical Chemistry (journal); Bar (unit); Enthalpy; Spectroscopy; Inorganic chemistry; Physical chemistry; Organic chemistry; Nuclear magnetic resonance","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009401922,0.0003571265,0.0002101927,0.0002229639,0.0001384419,0.000235442,0.0002200136,0.0002380289,0.0008324534],"category_scores_gemma":[0.00008271268,0.0002006147,0.0001417455,0.0001308293,0.000142326,0.0002314482,0.0002099726,0.0002962016,0.0002651757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002083327,"about_ca_system_score_gemma":0.00009675121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003526798,"about_ca_topic_score_gemma":0.001211521,"domain_scores_codex":[0.9999441,0.000007282038,0.00000530756,0.00001360521,0.0000147309,0.0000148236],"domain_scores_gemma":[0.9999298,0.00001065953,0.00002157181,0.000006409654,0.00001390731,0.00001756591],"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":[0.0000335578,0.000005619764,0.00005219574,0.00008217496,0.000004467871,0.00002631717,0.00001002331,0.00006672391,0.9983755,0.00008544452,0.00005316696,0.001204655],"study_design_scores_gemma":[0.000009024934,0.00007262961,0.000588356,0.000005033678,0.00001045494,0.00008263698,0.00001165653,0.0006280291,0.9969589,0.00002552405,0.001601584,0.000006185462],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863659,0.001789692,0.008748518,0.0001192579,0.00008930145,0.00004227734,0.0002867624,0.000367819,0.002190562],"genre_scores_gemma":[0.9890863,0.0006827229,0.007517681,0.00003668638,0.0000122686,0.00003521163,0.0001433639,0.00004660755,0.002439143],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008324534,"threshold_uncertainty_score":0.002784908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02361310503641845,"score_gpt":0.2724245084146034,"score_spread":0.2488114033781849,"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."}}