{"id":"W7114787327","doi":"10.3390/met15121366","title":"Environmentally Assisted Degradation of Metals and Alloys","year":2025,"lang":"en","type":"article","venue":"Metals","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Chinese Academy of Sciences; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Pipeline Research Council International","keywords":"Reliability (semiconductor); Degradation (telecommunications); Production (economics); Component (thermodynamics); Work (physics)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004034726,0.00009022318,0.0001630425,0.00005554443,0.00004485244,0.00001780985,0.0001251404,0.00003679044,0.0003288297],"category_scores_gemma":[0.00002774254,0.00007814628,0.00004680851,0.0001371842,0.0001201484,0.0001332797,0.0001886002,0.00003876304,0.00003442626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003342874,"about_ca_system_score_gemma":0.000001509934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008095449,"about_ca_topic_score_gemma":0.00001281784,"domain_scores_codex":[0.9992535,0.00006109838,0.0002211876,0.0002015306,0.000160545,0.0001021295],"domain_scores_gemma":[0.9996562,0.00003835962,0.00008332451,0.0001962804,0.000001740195,0.00002410512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0000271904,0.0003244808,0.06480784,0.00008121924,0.000256043,0.000003207301,0.000102815,0.0004954278,0.5075788,0.003589133,0.01011567,0.4126182],"study_design_scores_gemma":[0.0006290224,0.0001212251,0.4835735,0.0000662602,0.0003300713,0.000002994988,0.000127305,0.001955493,0.3914416,0.004017433,0.1173753,0.0003598435],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9117479,0.000246456,0.01711839,0.000439664,0.00004843871,0.0003072887,0.000003553312,0.00007011181,0.07001821],"genre_scores_gemma":[0.972982,0.0001157235,0.01272939,0.0001782289,0.000003203345,0.00001724141,0.000006418158,0.000005631508,0.01396216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4187656,"threshold_uncertainty_score":0.3600454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0138444900905091,"score_gpt":0.2498224677381991,"score_spread":0.23597797764769,"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."}}