{"id":"W4407776943","doi":"10.1016/j.wear.2025.205953","title":"Mechanical properties and wear behaviors of lightweight Al3Ti-based medium-entropy alloys at elevated temperatures","year":2025,"lang":"en","type":"article","venue":"Wear","topic":"High Entropy Alloys Studies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Alberta","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Materials science; High entropy alloys; Composite material; Metallurgy; Forensic engineering; Alloy; Engineering","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":[0.0001376198,0.0002414988,0.0001565084,0.0003865764,0.0001314943,0.0001980391,0.0002441546,0.0002024599,0.0005346913],"category_scores_gemma":[0.0002040169,0.0001540496,0.0001908101,0.0002549374,0.0001499143,0.0001713124,0.000129353,0.0001827292,0.0001425305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002041017,"about_ca_system_score_gemma":0.00007475713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006726332,"about_ca_topic_score_gemma":0.001584266,"domain_scores_codex":[0.9998837,0.000007195447,0.00001182551,0.00001969958,0.00005893779,0.00001871026],"domain_scores_gemma":[0.9998693,0.00001412405,0.00004226124,0.00001439444,0.00003980058,0.0000199362],"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":[0.0001356835,0.000008718041,0.001017189,0.0000343535,0.000007319404,0.00005211977,0.00003441078,0.0003842054,0.9964701,0.00005102115,0.00004063635,0.001764239],"study_design_scores_gemma":[0.000007665942,0.0004813636,0.01884117,0.000006544153,0.00002415535,0.0001061103,0.00007105152,0.00466562,0.9748247,0.000030087,0.0009278326,0.00001367937],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991595,0.0002139792,0.0002863683,0.000007410149,0.000005563946,0.0000024551,0.00005140396,0.00001966437,0.0002536943],"genre_scores_gemma":[0.9990608,0.00007021825,0.0003495006,0.000004911582,0.000002618401,0.000003640216,0.00004941635,0.000005058502,0.0004537598],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006726332,"threshold_uncertainty_score":0.001788676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008951593670964665,"score_gpt":0.2063019820881953,"score_spread":0.1973503884172307,"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."}}