{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001762324,0.000300315,0.0002055101,0.0001798285,0.0003029997,0.0005551433,0.0002140746,0.0003989991,0.001837542],"category_scores_gemma":[0.0002170207,0.0001526936,0.0002528269,0.0001426217,0.0002098103,0.0002706879,0.0004004712,0.0003681854,0.0008496682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002713256,"about_ca_system_score_gemma":0.0002742632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006353353,"about_ca_topic_score_gemma":0.001381094,"domain_scores_codex":[0.9997547,0.00002122543,0.00001203349,0.00004248985,0.0001086062,0.00006097387],"domain_scores_gemma":[0.9999365,0.000007131268,0.00001275546,0.00001011311,0.00002913993,0.000004476222],"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":[0.00009645776,0.00002645951,0.0006582761,0.000284177,0.00001662603,0.0002436868,0.00009284501,0.0008135167,0.9798892,0.001444902,0.000824833,0.01560911],"study_design_scores_gemma":[0.000002175649,0.0001029703,0.0007702007,0.00001690452,0.000008056502,0.0001737811,0.00003949886,0.0006822351,0.9872471,0.0002604271,0.01069115,0.000005644049],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9225515,0.01909849,0.02373879,0.00068597,0.0004687314,0.00006910282,0.0006385851,0.000427012,0.03232196],"genre_scores_gemma":[0.9755824,0.00548398,0.004365276,0.0002523327,0.00003102465,0.00002309097,0.0003096396,0.00004322692,0.01390892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001837542,"threshold_uncertainty_score":0.006147206,"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."}}