{"id":"W4296625577","doi":"10.3390/hydrogen3040023","title":"First Hydrogenation of TiFe with Addition of 20 wt.% Ti","year":2022,"lang":"en","type":"article","venue":"Hydrogen","topic":"Hydrogen Storage and Materials","field":"Materials Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Ingot; Vacuum induction melting; Alloy; Induction furnace; Microstructure; Materials science; Phase (matter); Metallurgy; Kinetics; Stoichiometry; Hydrogen; Analytical Chemistry (journal); Chemistry; Physical chemistry; Chromatography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001220061,0.0002879062,0.0003446446,0.0001131314,0.0001903979,0.0001545231,0.000357905,0.0003432182,0.001585443],"category_scores_gemma":[0.0002298819,0.0001460888,0.000243564,0.0001336617,0.0001783929,0.0002867196,0.0002399841,0.0005441617,0.0005001573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002328444,"about_ca_system_score_gemma":0.0001299203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005880517,"about_ca_topic_score_gemma":0.001900988,"domain_scores_codex":[0.999876,0.00001087385,0.00000716611,0.00002968548,0.00003538107,0.00004084663],"domain_scores_gemma":[0.9999262,0.00001993336,0.00001058054,0.00001604409,0.00001984684,0.000007403596],"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":[0.00007870397,0.00001413784,0.0002336082,0.0001231019,0.00001167151,0.00009317973,0.00005307803,0.0001077209,0.9955779,0.0001010096,0.00009086468,0.003515066],"study_design_scores_gemma":[0.000001660816,0.00004398634,0.0003372524,0.000001601242,0.000004332834,0.00002910899,0.000009975544,0.0002043894,0.9979348,0.00001469922,0.001416392,0.000001854133],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9815186,0.001625719,0.01111246,0.0001087993,0.0001022611,0.00007908489,0.0002621224,0.0001826795,0.005008251],"genre_scores_gemma":[0.9924958,0.0003438195,0.004184666,0.00003364555,0.00001023001,0.0000192088,0.000210137,0.0000558275,0.002646656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001585443,"threshold_uncertainty_score":0.00530386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01109331905245885,"score_gpt":0.2089118426635368,"score_spread":0.197818523611078,"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."}}