{"id":"W307739034","doi":"","title":"Fundamental Studies of Diffusion and Reactions in Hydrogen Storage Materials","year":2008,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Hydrogen Storage and Materials","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Division of Materials Research; Materials Research Science and Engineering Center, Harvard University; U.S. Department of Energy; National Science Foundation","keywords":"Hydrogen; Hydrogen storage; Dehydrogenation; Chemical physics; Kinetics; Diffusion; Energy carrier; Chemistry; Nanotechnology; Carbon fibers; Materials science; Thermodynamics; Catalysis; Physics; Organic chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004493702,0.0006686134,0.000590932,0.0005340005,0.0007673743,0.0007977153,0.001545186,0.001300859,0.00377132],"category_scores_gemma":[0.0009023714,0.0006542216,0.0002855724,0.0003737921,0.001810918,0.002743097,0.0007289498,0.002127328,0.0007122562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001103732,"about_ca_system_score_gemma":0.0003471756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004307681,"about_ca_topic_score_gemma":0.0002369717,"domain_scores_codex":[0.9998134,0.00002358606,0.000007381681,0.00005695134,0.00007185818,0.00002684406],"domain_scores_gemma":[0.9998055,0.0001262273,0.00002197798,0.00001872213,0.00001729786,0.00001039823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001313385,0.0001953167,0.0005669038,0.001337665,0.00002226949,0.000272041,0.0005689609,0.01269369,0.230447,0.7251527,0.00141314,0.02719905],"study_design_scores_gemma":[0.0001313082,0.0004382457,0.002091324,0.0003041952,0.00003187067,0.00122891,0.0003398562,0.1446194,0.2296701,0.5481426,0.07288057,0.0001217922],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4141949,0.1827638,0.2807931,0.006916561,0.001187744,0.000476349,0.0009425597,0.0004051373,0.1123198],"genre_scores_gemma":[0.8831947,0.05684356,0.03737679,0.0006461793,0.0006566246,0.0005596379,0.0004107289,0.00012537,0.02018643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00377132,"threshold_uncertainty_score":0.01261628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02941398322488884,"score_gpt":0.2463948227279439,"score_spread":0.2169808395030551,"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."}}