{"id":"W2902789657","doi":"10.1007/s11661-018-5051-z","title":"Effect of Strain Rate on the Bainitic Transformation in Fe-C-Mn-Si Medium-Carbon Bainitic Steels","year":2018,"lang":"en","type":"article","venue":"Metallurgical and Materials Transactions A","topic":"Microstructure and Mechanical Properties of Steels","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Major Technology Innovation of Hubei Province; National Natural Science Foundation of China","keywords":"Bainite; Austenite; Materials science; Strain rate; Metallography; Strain (injury); Metallurgy; Deformation (meteorology); Carbon fibers; Composite material; Microstructure","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":[0.0007153201,0.0001760027,0.0003366359,0.00006610125,0.00006438552,0.00004562766,0.00009426929,0.0001116823,0.0009193227],"category_scores_gemma":[0.00001784082,0.0001112729,0.00007321595,0.0001134537,0.0001278983,0.00009797436,0.000003344744,0.0001338351,0.00001253253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001508166,"about_ca_system_score_gemma":0.000007440854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002718157,"about_ca_topic_score_gemma":0.00003241462,"domain_scores_codex":[0.9989294,0.000212807,0.0003809444,0.0001418644,0.0001139716,0.0002210474],"domain_scores_gemma":[0.9995665,0.0001989533,0.00002688503,0.0001263132,0.00002037573,0.00006096256],"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":[0.0002869167,0.00003288312,4.874394e-8,0.000396191,0.00008577829,0.000006468725,0.0006159368,0.0004029623,0.9913554,0.001017278,0.000003990127,0.005796177],"study_design_scores_gemma":[0.001114046,0.0007566463,0.00007283268,0.0001458664,0.0001141317,0.00002219635,0.00008598482,0.002676588,0.9929945,0.0005774703,0.001241389,0.0001983268],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914687,0.000067526,0.006010919,0.0001696425,0.0003663646,0.0004517071,0.00008130653,0.00006342707,0.001320466],"genre_scores_gemma":[0.9996016,0.0001217941,0.00002781857,0.00006140963,0.00005719847,0.00005583315,0.000009630697,0.00001949382,0.00004520827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008132973,"threshold_uncertainty_score":0.999994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01020423692769699,"score_gpt":0.2081253099336951,"score_spread":0.1979210730059981,"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."}}