{"id":"W4404568515","doi":"10.3390/ma17225671","title":"Hydrogen Trapping at Fe/Cu Interfaces","year":2024,"lang":"en","type":"article","venue":"Materials","topic":"Hydrogen embrittlement and corrosion behaviors in metals","field":"Materials Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Österreichische Forschungsförderungsgesellschaft; Austrian Science Fund; Bundesministerium für Klimaschutz, Umwelt, Energie, Mobilität, Innovation und Technologie; Bundesministerium für Arbeit und Wirtschaft","keywords":"Trapping; Hydrogen; Materials science; Chemistry; Geography; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001652691,0.000198526,0.0001700275,0.0001867731,0.0005614702,0.0002927046,0.0005176986,0.0004859104,0.001163799],"category_scores_gemma":[0.0002978235,0.0001813704,0.0001817405,0.0001356653,0.0003719219,0.0003749691,0.0002565936,0.0003479054,0.0001487644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005663635,"about_ca_system_score_gemma":0.0003571095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003699471,"about_ca_topic_score_gemma":0.004781583,"domain_scores_codex":[0.9999219,0.000009924681,0.00000261796,0.00001208807,0.00003123876,0.00002222518],"domain_scores_gemma":[0.9999387,0.00002348661,0.000009822391,0.000007521987,0.00001692529,0.000003530733],"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":[0.0005390017,0.0002758992,0.01277159,0.002322996,0.0001801331,0.001620096,0.0009694022,0.1905401,0.6655299,0.07449062,0.004654231,0.04610596],"study_design_scores_gemma":[0.0000613883,0.0004287988,0.01002594,0.00009979121,0.00007987014,0.0003928684,0.0006691591,0.6330184,0.3347403,0.01326268,0.007170045,0.00005083448],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9759331,0.0009862526,0.01366601,0.0002348467,0.0000593589,0.00002098232,0.0001525393,0.0001350486,0.008811869],"genre_scores_gemma":[0.9974867,0.0002008379,0.00167225,0.00002590264,0.000002755454,0.00001388453,0.00007733727,0.00001093176,0.0005092776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003699471,"threshold_uncertainty_score":0.007355869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02397303186208696,"score_gpt":0.279178347750015,"score_spread":0.2552053158879281,"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."}}