{"id":"W4414718238","doi":"10.1016/j.apsusc.2025.164779","title":"Assessing microbially influenced corrosion of titanium as novel canister material for geological disposal facilities","year":2025,"lang":"en","type":"article","venue":"Applied Surface Science","topic":"Corrosion Behavior and Inhibition","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministerio de Universidades; School of Engineering and Applied Science, University of Virginia; Horizon 2020; Engineering and Physical Sciences Research Council; Ministerio de Ciencia, Innovación y Universidades","keywords":"Titanium; Corrosion; Slurry; Bentonite; Titanium alloy; Radioactive waste; Oxide; Metal; Spent nuclear fuel","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003370882,0.0006586221,0.0004311582,0.0004767921,0.0001845159,0.0005309851,0.0005038108,0.000803175,0.001027079],"category_scores_gemma":[0.0005148231,0.0001925621,0.0005595045,0.0003796458,0.0001583072,0.0003125628,0.0002975746,0.0003256661,0.0002870658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000335976,"about_ca_system_score_gemma":0.0001956583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001545783,"about_ca_topic_score_gemma":0.003416795,"domain_scores_codex":[0.9996558,0.00004591989,0.00002316836,0.00005584207,0.0001646994,0.0000545946],"domain_scores_gemma":[0.9997856,0.00002963432,0.00004733185,0.000015745,0.000101025,0.00002069618],"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":[0.0001047993,0.00001842988,0.0009061872,0.0001462765,0.00001436376,0.00004017429,0.00002617584,0.0002871005,0.9962711,0.00001593703,0.00004074379,0.002128618],"study_design_scores_gemma":[0.000003910664,0.0007694342,0.008074525,0.00001170229,0.00007803769,0.0001090894,0.00015256,0.001732466,0.9878201,0.00002398009,0.001209461,0.00001470244],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945814,0.0007762364,0.003260455,0.00003528786,0.00002943337,0.00004091188,0.0004591515,0.00005155245,0.0007655466],"genre_scores_gemma":[0.9915441,0.0008600707,0.004721227,0.00002609471,0.00000761806,0.00003614546,0.0006767606,0.00002843106,0.002099573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001545783,"threshold_uncertainty_score":0.00343591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02124373327471083,"score_gpt":0.2959736389377847,"score_spread":0.2747299056630738,"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."}}