{"id":"W4377099238","doi":"10.1007/s11661-023-07072-2","title":"Temperature Dependence of Mechanical Properties for Advanced Line Pipe Steels With Bainitic Microstructures","year":2023,"lang":"en","type":"article","venue":"Metallurgical and Materials Transactions A","topic":"Microstructure and Mechanical Properties of Steels","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"EVRAZ (Canada); University of British Columbia","funders":"","keywords":"Materials science; Microstructure; Electron backscatter diffraction; Charpy impact test; Brittleness; Metallurgy; Ultimate tensile strength; Metallography; Composite material; Welding; Atmospheric temperature range","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":[],"consensus_categories":[],"category_scores_codex":[0.0001208695,0.0002005907,0.0004103649,0.00005740271,0.0001068547,0.00006381932,0.000107103,0.0001430227,0.0002042876],"category_scores_gemma":[0.00001146611,0.0001349135,0.00006669892,0.0001429673,0.00008434065,0.0001377653,0.000009850151,0.0001082893,0.000003980733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008026794,"about_ca_system_score_gemma":0.00001456579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001074958,"about_ca_topic_score_gemma":0.00002484967,"domain_scores_codex":[0.9990262,0.00002210372,0.0003252114,0.0002331568,0.0001203705,0.0002729507],"domain_scores_gemma":[0.9996362,0.00003932975,0.00003109675,0.000137947,0.00006564661,0.00008972338],"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":[0.0002517366,0.00001296561,1.697448e-8,0.0004833338,0.0000759445,0.000005604013,0.00006640525,0.004601292,0.9931152,0.0001765895,0.000009286206,0.001201553],"study_design_scores_gemma":[0.0008328072,0.0002493622,0.00001442147,0.0001149718,0.00009307326,0.0000739679,0.000105116,0.0005812608,0.9956284,0.000428442,0.00166355,0.0002146753],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9645762,0.0004704608,0.03345303,0.00009106712,0.000315881,0.0005806369,0.0002291308,0.0002619273,0.00002161011],"genre_scores_gemma":[0.9962806,0.0003873153,0.002694485,0.00003349016,0.00004303184,0.0001218992,0.00002407804,0.00003836885,0.0003767818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0317043,"threshold_uncertainty_score":0.5501612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01388872775673842,"score_gpt":0.2049975420486317,"score_spread":0.1911088142918932,"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."}}