{"id":"W2557782597","doi":"10.1107/s2053273314090603","title":"Study of hydrogen storage materials by neutron powder diffraction","year":2014,"lang":"en","type":"article","venue":"Acta Crystallographica Section A Foundations and Advances","topic":"Hydrogen Storage and Materials","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Université du Québec à Trois-Rivières","funders":"","keywords":"Neutron diffraction; Hydrogen storage; Alloy; Materials science; Intermetallic; Hydride; Hydrogen; Diffraction; Powder diffraction; Neutron; FETI; Metal; Crystallography; Metallurgy; Thermodynamics; Chemistry; Physics; Optics; Nuclear physics; Organic chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004828854,0.0001919271,0.0003199287,0.0001918764,0.0003886072,0.000152604,0.0001280965,0.00008330628,0.0004468673],"category_scores_gemma":[0.00005100288,0.0001711623,0.00004138162,0.000270701,0.0001310575,0.000892447,0.0000555766,0.00006488553,0.00000210292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001790011,"about_ca_system_score_gemma":0.00001274853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002401418,"about_ca_topic_score_gemma":0.0001749265,"domain_scores_codex":[0.9984214,0.0002695541,0.0004529932,0.000403353,0.0002314579,0.0002211993],"domain_scores_gemma":[0.9991133,0.00008477117,0.0003522884,0.0002750559,0.00009041086,0.00008422856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004227799,0.0003217036,0.0002991309,0.00002801538,0.00001908048,6.427858e-7,0.0002702731,0.00003343769,0.9984809,0.00007955158,0.00008910666,0.0003358417],"study_design_scores_gemma":[0.003977303,0.003496315,0.01127117,0.00008495568,0.0003544749,0.00009806055,0.004888284,0.00007219768,0.3397789,0.002441248,0.6322502,0.001286788],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980749,0.0001053595,0.0003693668,0.00008140061,0.0006732499,0.0003922055,0.00004444101,0.0001042441,0.0001548037],"genre_scores_gemma":[0.9992805,0.000182389,0.0001102558,0.00004581865,0.0001426045,0.00008598492,0.00005058513,0.00002081293,0.00008108258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.658702,"threshold_uncertainty_score":0.6979795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00970505840175494,"score_gpt":0.2564637228289015,"score_spread":0.2467586644271466,"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."}}