{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004722761,0.0001261998,0.0002785213,0.0001041943,0.0001616556,0.00001069106,0.000260617,0.00003917728,0.00739193],"category_scores_gemma":[0.00002132375,0.0001149202,0.00006255808,0.0002390956,0.00008376331,0.0001518743,0.000133837,0.00004991754,0.00007921073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005742804,"about_ca_system_score_gemma":0.00007934178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001296226,"about_ca_topic_score_gemma":0.00003794378,"domain_scores_codex":[0.9985521,0.0001150684,0.0003825036,0.0002472654,0.0004992931,0.0002038148],"domain_scores_gemma":[0.9991503,0.00004007376,0.0003499482,0.000326931,0.000073818,0.00005893371],"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":[0.0001448732,0.0001330565,0.0001168029,0.00006820379,0.00002234304,0.00001665614,0.0004894072,0.00487415,0.9926648,0.0004252086,0.0009513571,0.00009313371],"study_design_scores_gemma":[0.0003991254,0.0002958793,0.000026929,0.00001912524,0.00003837419,0.00004227844,0.00008371357,0.0003029295,0.979412,0.0003128809,0.0189299,0.0001368288],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977033,0.0001259834,0.00009758197,0.0000652007,0.0001486677,0.0002597388,0.0005802004,0.00004905247,0.0009703219],"genre_scores_gemma":[0.999018,0.000006715423,0.0003878718,0.00005105451,0.0000558831,0.00009768209,0.000135119,0.00002327029,0.0002244276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01797855,"threshold_uncertainty_score":0.9935154,"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."}}