{"id":"W2180761661","doi":"10.3390/ma8115423","title":"Hydrogenation Properties of TiFe Doped with Zirconium","year":2015,"lang":"en","type":"article","venue":"Materials","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":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Alloy; Zirconium; Microstructure; Intergranular corrosion; Scanning electron microscope; Hydrogen; Metallurgy; Doping; Oxide; Phase (matter); Chemical engineering; Composite material; Organic chemistry; Chemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.0009604562,0.0001736001,0.0004017581,0.00006675151,0.00004873291,0.0001198247,0.0002297765,0.00007977446,0.0007599916],"category_scores_gemma":[0.00007329104,0.0001170985,0.00002277445,0.00009097823,0.0001212206,0.0003223446,0.0000830679,0.00002011606,0.0005475544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004468042,"about_ca_system_score_gemma":0.0001349542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002836787,"about_ca_topic_score_gemma":0.00001151442,"domain_scores_codex":[0.9984896,0.0001814375,0.0004453799,0.0002556157,0.0003611267,0.0002668798],"domain_scores_gemma":[0.9990848,0.000008818926,0.0002467549,0.0003303773,0.0002128072,0.0001164595],"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":[0.0002593769,0.00004329267,0.0000168743,0.0000791455,0.000009954239,0.000009842932,0.0005824019,0.0000273444,0.9983326,0.0003363384,0.0002740273,0.00002881395],"study_design_scores_gemma":[0.0005637002,0.0001535802,0.00001231945,0.00006355466,0.00002414539,0.00002842721,0.0001139292,0.00000229572,0.9965677,0.0001300073,0.002164851,0.0001754765],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977292,0.0001054242,0.0000770178,0.00007718444,0.0007745476,0.0003347514,0.00005368451,0.000112705,0.0007354756],"genre_scores_gemma":[0.9985704,0.000003848456,0.000684196,0.00007387216,0.0001862723,0.00006074168,0.00001434564,0.00002940001,0.0003768743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001890823,"threshold_uncertainty_score":0.8321375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04264752287302974,"score_gpt":0.2321806303137056,"score_spread":0.1895331074406758,"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."}}