{"id":"W2110278862","doi":"10.1002/adem.200300403","title":"Creep Resistant Magnesium Alloys for Powertrain Applications","year":2003,"lang":"en","type":"article","venue":"Advanced Engineering Materials","topic":"Magnesium Alloys: Properties and Applications","field":"Materials Science","cited_by":419,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Creep; Magnesium; Materials science; Powertrain; Metallurgy; Magnesium alloy; Silicon; Thermodynamics","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":[0.000156144,0.0005217213,0.0003384148,0.0007114676,0.0002223239,0.0005474613,0.0003158473,0.0007028594,0.004230601],"category_scores_gemma":[0.0001485001,0.0001454243,0.0002532715,0.0006849412,0.0001112324,0.0005341631,0.0002898575,0.0004199008,0.002282418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003034669,"about_ca_system_score_gemma":0.0002556698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004745618,"about_ca_topic_score_gemma":0.0008058283,"domain_scores_codex":[0.9998938,0.000009831809,0.000007397801,0.00001534601,0.00006451496,0.000009128213],"domain_scores_gemma":[0.9999363,0.000008594718,0.00001466521,0.000005639672,0.00002920208,0.000005569584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001626197,0.0001236956,0.0007832976,0.003377918,0.00006043929,0.0008358757,0.0002125777,0.002931195,0.4356157,0.03373726,0.02430752,0.4978519],"study_design_scores_gemma":[0.00001899247,0.0002558639,0.001171855,0.0002196235,0.00003811887,0.0008903503,0.00006165179,0.00115383,0.05457935,0.007161347,0.9344342,0.00001491052],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.06931842,0.7086934,0.03717956,0.003018235,0.001691647,0.0002141475,0.0004075869,0.0008075094,0.1786695],"genre_scores_gemma":[0.3746575,0.4007537,0.04396751,0.001225784,0.001507962,0.0001708333,0.0008560697,0.0001389986,0.1767216],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004230601,"threshold_uncertainty_score":0.01415271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007985932430788842,"score_gpt":0.2178367917283322,"score_spread":0.2098508592975434,"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."}}