{"id":"W2588578003","doi":"10.1080/1478422x.2017.1288336","title":"Transient modelling of sulphide diffusion under conditions typical of a deep geological repository","year":2017,"lang":"en","type":"article","venue":"Corrosion Engineering Science and Technology The International Journal of Corrosion Processes and Corrosion Control","topic":"Corrosion Behavior and Inhibition","field":"Materials Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nuclear Waste Management Organization; University of Toronto; York University","funders":"Mitacs; York University; Nuclear Waste Management Organization","keywords":"Corrosion; Multiphysics; Radioactive waste; Bentonite; Metallurgy; Diffusion; Materials science; Geology; Geotechnical engineering; Waste management; Finite element method; Engineering; Thermodynamics; Structural engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0001856443,0.0004808228,0.0005503385,0.0004216553,0.0004390033,0.0008297359,0.000928311,0.001395792,0.001642107],"category_scores_gemma":[0.0005851218,0.0003778965,0.0007608758,0.0003883368,0.0005785446,0.0004702832,0.0004932896,0.0005589299,0.0002146766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00149389,"about_ca_system_score_gemma":0.001174282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02900319,"about_ca_topic_score_gemma":0.01488495,"domain_scores_codex":[0.9998958,0.00001566263,0.00000660147,0.0000239002,0.00002899872,0.00002904738],"domain_scores_gemma":[0.9997706,0.0001117559,0.00003416665,0.00001453944,0.00004744565,0.00002145763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004709907,0.00002530491,0.001572032,0.00003230001,0.000007968157,0.0001043085,0.00004123036,0.9893698,0.007326242,0.000479102,0.00009467877,0.0009000759],"study_design_scores_gemma":[0.000006046816,0.00002032098,0.0004708252,0.000002609903,0.000003826868,0.0000114208,0.00001965801,0.997713,0.001466359,0.0001053099,0.0001741667,0.000006589773],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.94828,0.0002535338,0.03749589,0.000254189,0.00004705351,0.00008535564,0.000978849,0.0004166026,0.01218853],"genre_scores_gemma":[0.9929635,0.0001347021,0.004014836,0.00002272546,0.000004503614,0.00005715158,0.0002674038,0.00002602688,0.002509093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02900319,"threshold_uncertainty_score":0.05766875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01194964989010647,"score_gpt":0.2425005251693891,"score_spread":0.2305508752792826,"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."}}