{"id":"W4387066221","doi":"10.2139/ssrn.4583713","title":"Effect of Low and High Temperature Ecap Modes on the Microstructure, Mechanical Properties and Functional Fatigue Behavior of Ti-Zr-Nb Alloy for Biomedical Applications","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Titanium Alloys Microstructure and Properties","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Microstructure; Materials science; Alloy; Metallurgy; Composite material","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":[0.0003176689,0.0002725218,0.0002173502,0.0001858674,0.0001974763,0.0003133173,0.0002907255,0.0003549525,0.003211167],"category_scores_gemma":[0.0007809399,0.0001794205,0.0001760914,0.0001476667,0.0003597843,0.0003686787,0.0002206306,0.0002683815,0.0003675184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000229452,"about_ca_system_score_gemma":0.0001762265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001094117,"about_ca_topic_score_gemma":0.001633709,"domain_scores_codex":[0.9998631,0.00001976519,0.000008299196,0.00003525986,0.00003381878,0.00003964543],"domain_scores_gemma":[0.9993379,0.000315909,0.00009501016,0.00005762493,0.000144648,0.00004885604],"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":[0.001682022,0.00004568142,0.0007041838,0.0001137116,0.00001458285,0.00008173783,0.00009918521,0.000666968,0.9916782,0.00007343007,0.000115423,0.004724978],"study_design_scores_gemma":[0.00002734436,0.0008651243,0.008285953,0.00001508438,0.00003316869,0.00006696096,0.0000880983,0.003113872,0.9868068,0.00003319332,0.0006482878,0.0000161623],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975758,0.0008140007,0.0007894374,0.00002975313,0.00002162804,0.000007963547,0.00008002265,0.00002723082,0.000654237],"genre_scores_gemma":[0.9985017,0.0002282184,0.0003962044,0.00001904155,0.000009998379,0.000009802935,0.00004570439,0.00002167501,0.0007676046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003211167,"threshold_uncertainty_score":0.01074243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02099580927473657,"score_gpt":0.2484559257256,"score_spread":0.2274601164508634,"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."}}