{"id":"W4409283965","doi":"10.1016/j.ijhydene.2025.04.001","title":"Microstructure and first hydrogenation properties of Ti30V60M10 + 4 wt% Zr (M=Fe, Co, and Ni)","year":2025,"lang":"en","type":"article","venue":"International Journal of Hydrogen Energy","topic":"Hydrogen Storage and Materials","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microstructure; Materials science; Hydrogen storage; Metallurgy; Nuclear chemistry; Chemical engineering; Chemistry; Crystallography; Alloy","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":[0.0001021455,0.0001835016,0.0002547831,0.0002210557,0.0002128043,0.0003412561,0.0002988663,0.0002623133,0.001148804],"category_scores_gemma":[0.0001708751,0.0002272116,0.0002355433,0.0002416912,0.0001958037,0.0001736862,0.0001178097,0.0002029901,0.0002339314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005359954,"about_ca_system_score_gemma":0.0001610102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004331288,"about_ca_topic_score_gemma":0.00801754,"domain_scores_codex":[0.9998633,0.000007695783,0.000006192464,0.00003014516,0.00006426711,0.00002837528],"domain_scores_gemma":[0.9999113,0.0000080636,0.00001681339,0.000008382283,0.00004439102,0.00001112082],"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":[0.0001233025,0.000007853678,0.0006999273,0.00007881098,0.000008003897,0.0000628921,0.00004736975,0.0002015897,0.9971027,0.00006625357,0.00007410529,0.001527373],"study_design_scores_gemma":[0.000007961861,0.0003629974,0.01677685,0.000006197263,0.00002955134,0.0001392264,0.00008908859,0.0007817041,0.9798514,0.00002744895,0.001918587,0.00000901081],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960568,0.0009320175,0.0005859289,0.00002556383,0.00001902618,0.00001011676,0.0003593847,0.00003952013,0.001971665],"genre_scores_gemma":[0.9963486,0.0002518722,0.0005784612,0.00001088253,0.000004284082,0.000006156871,0.0002959239,0.00002057415,0.00248337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004331288,"threshold_uncertainty_score":0.008612156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008560114318718759,"score_gpt":0.2378095441390973,"score_spread":0.2292494298203785,"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."}}