{"id":"W2012440781","doi":"10.4028/www.scientific.net/amr.15-17.750","title":"Formation of Ultrafine Grained Low Carbon Steels via Martensite Deformation and Annealing","year":2006,"lang":"en","type":"article","venue":"Advanced materials research","topic":"Microstructure and Mechanical Properties of Steels","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Formability; Martensite; Metallurgy; Annealing (glass); Softening; Recrystallization (geology); Carbide; Grain size; Work hardening; Deformation (meteorology); Microstructure; Composite material","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":[0.0004180747,0.0001083571,0.0002035206,0.0001275743,0.00006090798,0.00003622229,0.00007837175,0.00007681315,0.00002031478],"category_scores_gemma":[0.00003230031,0.00009310547,0.000016044,0.0001336821,0.00004686157,0.0003420704,0.00003765619,0.00009312862,0.000004623223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004096672,"about_ca_system_score_gemma":0.000005454272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000863212,"about_ca_topic_score_gemma":0.00001801813,"domain_scores_codex":[0.9989542,0.00004798569,0.000360554,0.0001132506,0.0002223038,0.0003017581],"domain_scores_gemma":[0.9995545,0.00004043729,0.00004182498,0.0001537993,0.000167967,0.00004143851],"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":[0.00006182415,0.000004562596,0.000001829044,0.0004609531,0.000003818476,0.00000125925,0.00008785762,0.002901279,0.9926533,0.0001432267,0.00003678371,0.00364336],"study_design_scores_gemma":[0.000385971,0.00006481571,0.0001288691,0.00008145325,0.000003439337,0.00001006714,0.00004721727,0.004009698,0.992896,0.002021233,0.0002522676,0.00009902394],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971371,0.0003165433,0.00129954,0.00003299004,0.0001372527,0.0003269738,0.00002434699,0.00007654927,0.0006487],"genre_scores_gemma":[0.9989471,0.0001590705,0.0006605645,0.000007307407,0.00007155205,0.00001850745,0.00006280578,0.00002163914,0.00005146737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003544336,"threshold_uncertainty_score":0.3796731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0124251482740464,"score_gpt":0.2434912361228754,"score_spread":0.231066087848829,"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."}}