{"id":"W2552224350","doi":"10.1115/ipc2016-64052","title":"Microstructure Engineering of Thicker Gage Niobium Microalloyed Line Pipe Steel With Enhanced Toughness by High Temperature Processing Using TiN-NbC Composite Precipitate","year":2016,"lang":"en","type":"article","venue":"Volume 3: Operations, Monitoring and Maintenance; Materials and Joining","topic":"Microstructure and Mechanical Properties of Steels","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"EVRAZ (Canada); McMaster University","funders":"Companhia Brasileira de Metalurgia e Mineração; McMaster University","keywords":"Materials science; Microstructure; Metallurgy; Charpy impact test; Fracture toughness; Thermomechanical processing; Microalloyed steel; Toughness; Composite material; Brittleness; Niobium; Austenite","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002014618,0.0004022418,0.00056012,0.00008021168,0.000268407,0.0002960394,0.0001216671,0.0002017703,0.00001732692],"category_scores_gemma":[0.00002976721,0.000266335,0.00003063124,0.0001097952,0.00009606061,0.0004820047,0.00008191135,0.0001944076,9.069847e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005066054,"about_ca_system_score_gemma":0.00003062476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005350222,"about_ca_topic_score_gemma":0.000003533005,"domain_scores_codex":[0.9984128,0.00003590114,0.0005434753,0.0004079739,0.0001463052,0.0004534992],"domain_scores_gemma":[0.9993709,0.00002357534,0.00009835752,0.0002046826,0.0001832935,0.0001191446],"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":[0.00008931522,0.000008044267,0.0001319172,0.0004309235,0.0000483155,0.000003125289,0.0004602135,0.00192115,0.9954403,0.00001792743,0.00005856671,0.001390204],"study_design_scores_gemma":[0.001039609,0.0001088148,0.0005295298,0.002072736,0.00005133945,0.00004746748,0.0002006354,0.0005827944,0.9945951,0.00001103232,0.0003207545,0.0004401802],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926887,0.001628212,0.004228227,0.00009586268,0.0007428573,0.0003035815,0.000159267,0.000145501,0.00000784872],"genre_scores_gemma":[0.9853209,0.0004697497,0.01334905,0.00002524501,0.0003389977,0.00002529964,0.00002005047,0.00008621559,0.0003645279],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009120827,"threshold_uncertainty_score":0.9999789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005390935523040527,"score_gpt":0.1875879494209739,"score_spread":0.1821970138979334,"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."}}