{"id":"W2482443170","doi":"10.1016/j.msea.2016.07.092","title":"Effects of tempering mode on the structural changes of martensite","year":2016,"lang":"en","type":"article","venue":"Materials Science and Engineering A","topic":"Microstructure and Mechanical Properties of Steels","field":"Engineering","cited_by":114,"is_retracted":false,"has_abstract":false,"ca_institutions":"ArcelorMittal (Canada); University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tempering; Materials science; Cementite; Martensite; Lath; Nanoindentation; Transmission electron microscopy; Ferrite (magnet); Dislocation; Crystallography; Composite material; Austenite; Ultimate tensile strength; Metallurgy; Microstructure; Nanotechnology; Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001972836,0.0002349879,0.000210671,0.0001446608,0.0002070651,0.0002760597,0.0002262591,0.0002126024,0.003385044],"category_scores_gemma":[0.0008604808,0.000236707,0.0001750799,0.0001942698,0.0003217756,0.0002786259,0.0001310963,0.0003095265,0.0002289201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002486536,"about_ca_system_score_gemma":0.0001443754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008928899,"about_ca_topic_score_gemma":0.001039684,"domain_scores_codex":[0.9999081,0.00001139515,0.000007612787,0.00002854905,0.00001743688,0.00002695387],"domain_scores_gemma":[0.9995719,0.0001824639,0.00007415205,0.00005389724,0.00007261747,0.00004507984],"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":[0.001285164,0.0000341199,0.001231729,0.0000610587,0.00001978582,0.00009724277,0.0001192329,0.0005500007,0.9928744,0.0001093418,0.00008315418,0.00353473],"study_design_scores_gemma":[0.0000265513,0.0004169044,0.01253887,0.00000656526,0.00002871906,0.00007035007,0.00007154828,0.00259138,0.9835573,0.00004769166,0.0006301826,0.000013964],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985462,0.000320912,0.0003529792,0.0000192431,0.00001628748,0.000004193061,0.00006093944,0.0000243565,0.0006549955],"genre_scores_gemma":[0.9992771,0.00008913522,0.0001660603,0.00001199747,0.00000412886,0.000002995237,0.00004121404,0.0000195053,0.0003879015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003385044,"threshold_uncertainty_score":0.01132405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005179073748264949,"score_gpt":0.1718682735529451,"score_spread":0.1666891998046802,"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."}}