{"id":"W2915502426","doi":"10.3390/met9020242","title":"First Hydrogenation Enhancement in TiFe Alloys for Hydrogen Storage Doped with Yttrium","year":2019,"lang":"en","type":"article","venue":"Metals","topic":"Hydrogen Storage and Materials","field":"Materials Science","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Yttrium; Hydrogen storage; Materials science; Phase (matter); Doping; Hydrogen; Matrix (chemical analysis); Chemical engineering; Inorganic chemistry; Metallurgy; Nuclear chemistry; Chemistry; Composite material; Organic chemistry; Alloy; Optoelectronics","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001204897,0.0002238213,0.0004446548,0.0001235709,0.00007567076,0.00008810234,0.0002725678,0.00008918036,0.001917314],"category_scores_gemma":[0.00004388388,0.0001779017,0.00007373984,0.0001638519,0.0000317466,0.000376443,0.00006645663,0.00004513074,0.001535365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001191899,"about_ca_system_score_gemma":0.00006262652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007053013,"about_ca_topic_score_gemma":0.0001541947,"domain_scores_codex":[0.9981977,0.00009415828,0.0004408849,0.0004869615,0.0003420686,0.0004382367],"domain_scores_gemma":[0.9991558,0.00007750776,0.0001958163,0.0004118329,0.0000719504,0.00008705982],"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":[0.000123753,0.00009785962,0.00006624564,0.00008976259,0.00002212947,0.000008029134,0.0003024461,0.001967598,0.9968417,0.000198499,0.000213478,0.00006851839],"study_design_scores_gemma":[0.001158644,0.0002069326,0.00002624564,0.00003954181,0.0000328811,0.000005834554,0.00002750504,0.0007413793,0.9578927,0.000110684,0.0394992,0.000258508],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951112,0.0001903766,0.002042193,0.0001888923,0.0003894113,0.001454292,0.00004567856,0.00006481637,0.000513148],"genre_scores_gemma":[0.9944266,0.00001238234,0.002420511,0.0002262843,0.0001116327,0.0003841747,0.00004182584,0.00003785271,0.002338727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03928572,"threshold_uncertainty_score":0.9992421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01587284794731103,"score_gpt":0.2448457906413565,"score_spread":0.2289729426940454,"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."}}