{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001540754,0.0002210127,0.000265848,0.0002853927,0.0001559426,0.0002746973,0.0003472725,0.0003393091,0.0006924318],"category_scores_gemma":[0.0003348128,0.0001846099,0.0002086826,0.0002670295,0.0001311966,0.0002952708,0.0001690233,0.0001705777,0.000171995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003657495,"about_ca_system_score_gemma":0.00009602537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009990466,"about_ca_topic_score_gemma":0.001622156,"domain_scores_codex":[0.9998609,0.000009890497,0.0000103582,0.00002894014,0.00005485644,0.00003501012],"domain_scores_gemma":[0.9998801,0.00002240308,0.00003211944,0.00001046626,0.00004382259,0.00001114417],"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":[0.0001324151,0.000009204527,0.0004360198,0.00004622282,0.000008667644,0.00003919151,0.00002845102,0.0002123656,0.9977117,0.0000521376,0.00001725815,0.001306416],"study_design_scores_gemma":[0.000004657221,0.0001101342,0.002082706,0.000003869553,0.000009339255,0.00003780314,0.00002363923,0.001178938,0.9959784,0.00001026277,0.0005557624,0.000004433111],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987123,0.0003939228,0.0004951392,0.00001050609,0.000008700141,0.000003321676,0.0000531375,0.00001585121,0.0003072037],"genre_scores_gemma":[0.9986028,0.0001845457,0.0005635654,0.00000507334,0.000002860145,0.00000426733,0.00008119991,0.00001043516,0.0005453831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009990466,"threshold_uncertainty_score":0.002653718,"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."}}