{"id":"W4282839507","doi":"10.1007/s11661-022-06737-8","title":"Revealing Microstructural, Textural, and Hardness Evolution of Ti–6Al–4V Sheet Cooled From Sub β-Transus Temperature at Different Rates","year":2022,"lang":"en","type":"article","venue":"Metallurgical and Materials Transactions A","topic":"Titanium Alloys Microstructure and Properties","field":"Materials Science","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Materials science; Equiaxed crystals; Microstructure; Martensite; Texture (cosmology); Metallurgy; Grain size; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001888064,0.0002785358,0.0005801667,0.00006117996,0.0007337654,0.0002002166,0.0001599751,0.0001152772,0.005711884],"category_scores_gemma":[0.000006066256,0.0002100081,0.00008686186,0.0001105639,0.0002630947,0.0001952628,0.00006684965,0.0001541367,0.000005309281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006971192,"about_ca_system_score_gemma":0.00002112583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009846768,"about_ca_topic_score_gemma":0.0001933013,"domain_scores_codex":[0.9982333,0.0002754571,0.000494614,0.0004804941,0.0002307452,0.0002853992],"domain_scores_gemma":[0.9994645,0.00005549171,0.0001300726,0.0001906516,0.00005415853,0.0001051639],"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":[0.0006171127,0.0000388353,0.00001189389,0.00009207772,0.0000416562,0.00000876719,0.0003791036,0.0000703497,0.9984775,0.00006969315,0.00006952944,0.000123447],"study_design_scores_gemma":[0.0009781097,0.0001458212,0.005220475,0.00003618539,0.0001952211,0.0002128151,0.000323503,0.00003013878,0.9896162,0.000326218,0.002594781,0.0003205845],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917212,0.004324199,0.0003904648,0.0002641484,0.001001082,0.0003118679,0.001917211,0.00006305319,0.000006799509],"genre_scores_gemma":[0.99866,0.0003240528,0.0003113557,0.00005777575,0.00006314818,0.0000607463,0.0001179252,0.00002465795,0.0003803824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008861387,"threshold_uncertainty_score":0.9951971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008011990349384155,"score_gpt":0.2010645014558564,"score_spread":0.1930525111064723,"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."}}