{"id":"W2036495838","doi":"10.1179/026708303225008149","title":"Microstructural evolution during thermomechanical processing of microalloyed medium carbon steels","year":2003,"lang":"en","type":"article","venue":"Materials Science and Technology","topic":"Microstructure and Mechanical Properties of Steels","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Microalloyed steel; Austenite; Metallurgy; Thermomechanical processing; Bainite; Pearlite; Grain boundary; Toughness; Nucleation; Ferrite (magnet); Microstructure; Machinability; Forging; Composite material; Machining","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":[],"consensus_categories":[],"category_scores_codex":[0.000281953,0.0001417962,0.0002516141,0.0002283994,0.0001140764,0.00003935764,0.0002480621,0.000165729,0.00002433455],"category_scores_gemma":[0.00008795796,0.0001135245,0.0000144969,0.0004500182,0.0005097982,0.000137696,0.00008486622,0.00009626311,0.00000132795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006520129,"about_ca_system_score_gemma":0.00006336653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001098454,"about_ca_topic_score_gemma":0.000002854599,"domain_scores_codex":[0.9989561,0.00001243763,0.0002695865,0.000247076,0.0001553822,0.0003594449],"domain_scores_gemma":[0.9995906,0.000004709793,0.00005237497,0.00018761,0.0001161413,0.00004859985],"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":[0.000007023811,0.000003195339,0.0000320024,0.00009657978,0.000004103801,0.000001533934,0.00004339838,0.000003526868,0.9976655,0.001520225,0.000001891359,0.0006210536],"study_design_scores_gemma":[0.0002287008,0.00004292897,0.0002717387,0.00003778624,0.00000895212,0.00009589565,0.0001199791,0.00004149746,0.996096,0.002871257,0.00005191086,0.0001334163],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982443,0.0007381298,0.00004678857,0.00005703264,0.0003686411,0.0001472799,0.000004744428,0.0001732176,0.0002198407],"genre_scores_gemma":[0.999373,0.00002886995,0.0005332407,0.000008210827,0.00001795733,0.000007623055,4.476986e-7,0.0000147077,0.00001590006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001569529,"threshold_uncertainty_score":0.4629395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004541161352578131,"score_gpt":0.1849103593347286,"score_spread":0.1803691979821505,"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."}}