{"id":"W4379794689","doi":"10.1002/maco.202313769","title":"The use of hydrogen in monitoring the anoxic corrosion of copper","year":2023,"lang":"en","type":"article","venue":"Materials and Corrosion","topic":"Corrosion Behavior and Inhibition","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nuclear Waste Management Organization; Natural Resources Canada","funders":"Svensk Kärnbränslehantering; Nuclear Waste Management Organization","keywords":"Corrosion; Copper; Outgassing; Hydrogen; Anoxic waters; Metallurgy; Erosion corrosion of copper water tubes; Materials science; Thermal desorption; Cladding (metalworking); Desorption; Chemistry; Environmental chemistry; Adsorption","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006918965,0.0001125293,0.0002031993,0.00005886659,0.0002092527,0.00008897825,0.0001486372,0.00006421063,0.00006815256],"category_scores_gemma":[0.00006776166,0.00006036664,0.00003450637,0.0002231674,0.0001394903,0.0001772206,0.0001947493,0.00004388526,0.00002292554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001472825,"about_ca_system_score_gemma":0.00001426022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001569227,"about_ca_topic_score_gemma":0.00001709155,"domain_scores_codex":[0.9987913,0.0001493096,0.0004344792,0.0001794926,0.0002446953,0.0002006624],"domain_scores_gemma":[0.999269,0.000193743,0.000179795,0.0002720224,0.00005641804,0.0000290049],"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":[0.0001037131,0.00002071304,0.004056555,0.00002216256,6.461751e-8,0.000001208102,0.0002549407,0.000054333,0.9946349,0.00005130732,0.0003099525,0.0004901179],"study_design_scores_gemma":[0.0002071344,0.00008199147,0.01223188,0.0001691057,0.00000860943,0.000003145712,0.0002303743,0.0000909144,0.9865126,0.000082195,0.0003110832,0.00007094919],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985228,0.00008476441,0.00002572914,0.00009619922,0.0009360149,0.0002478762,0.00005037004,0.00003002389,0.00000623976],"genre_scores_gemma":[0.9992382,0.0005284636,0.000017691,0.00001324756,0.00003888354,0.00003148894,0.000009061275,0.00001238193,0.0001105975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008175321,"threshold_uncertainty_score":0.246168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05059960114963711,"score_gpt":0.2714383948711502,"score_spread":0.2208387937215131,"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."}}