{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001146312,0.0002448451,0.0003709771,0.0001444614,0.0001736926,0.0002957236,0.0002986999,0.0003002861,0.0008287849],"category_scores_gemma":[0.0002216136,0.0002038388,0.0002156173,0.0001629126,0.0001544514,0.0003200712,0.0002408079,0.0002324538,0.0002435287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002895739,"about_ca_system_score_gemma":0.0001464187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006542497,"about_ca_topic_score_gemma":0.00159189,"domain_scores_codex":[0.9999256,0.000007475633,0.000006170825,0.00001353687,0.00002334382,0.0000238281],"domain_scores_gemma":[0.9999093,0.00001662028,0.00002057083,0.000009214155,0.00003314548,0.00001113786],"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":[0.00007866321,0.000006453099,0.0001338941,0.00004503286,0.000003646175,0.00003286057,0.0000176997,0.00006682774,0.9985663,0.00003432978,0.00001170578,0.001002512],"study_design_scores_gemma":[0.000002712594,0.00006352008,0.0004664627,0.000002860352,0.000004943886,0.00002122351,0.000008609021,0.0003507496,0.9985923,0.000005224988,0.0004799591,0.000001331254],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972934,0.0008656106,0.0009717706,0.00002128824,0.00001689903,0.00001089246,0.00003045096,0.00002914771,0.0007605099],"genre_scores_gemma":[0.996003,0.0004138763,0.002104688,0.00000952082,0.000004770684,0.00001031742,0.0000489601,0.00001970139,0.001385107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008287849,"threshold_uncertainty_score":0.00277251,"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."}}