{"id":"W1971803384","doi":"10.1007/s11661-010-0376-2","title":"Nonisothermal Austenite Grain Growth Kinetics in a Microalloyed X80 Linepipe Steel","year":2010,"lang":"en","type":"article","venue":"Metallurgical and Materials Transactions A","topic":"Microstructure and Mechanical Properties of Steels","field":"Engineering","cited_by":112,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Austenite; Metallurgy; Grain growth; Microalloyed steel; Grain size; Dissolution; Grain boundary; Microstructure; 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":[0.0001289087,0.0001196398,0.0002064766,0.0001343425,0.0001940111,0.0002707978,0.000238567,0.0001774809,0.001404002],"category_scores_gemma":[0.0002630597,0.0001535223,0.00009175813,0.00008940294,0.000252829,0.0003196973,0.00007458026,0.0001839841,0.0002148072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006363838,"about_ca_system_score_gemma":0.0003438839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005762109,"about_ca_topic_score_gemma":0.006814322,"domain_scores_codex":[0.9999412,0.000004671811,0.000002261746,0.00001705713,0.00002298772,0.00001178503],"domain_scores_gemma":[0.9998618,0.00006025933,0.00002166534,0.00001129775,0.00003314944,0.00001176199],"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":[0.0004650888,0.00006404654,0.001537967,0.00005817473,0.000008939166,0.0001406006,0.00008911898,0.004748496,0.9894913,0.0006928158,0.0001644441,0.002538913],"study_design_scores_gemma":[0.0000695177,0.0006177101,0.02103403,0.000005354697,0.00001831052,0.0001105439,0.0001677233,0.06960051,0.9067062,0.0002420234,0.001402002,0.00002613214],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982168,0.0001025902,0.0005521997,0.0000193391,0.000004493005,0.000004570109,0.00004861858,0.00002249849,0.001028877],"genre_scores_gemma":[0.9984208,0.00004071819,0.0003055508,0.000003414053,0.000001482637,0.000002462539,0.00004102261,0.000007421115,0.001177081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005762109,"threshold_uncertainty_score":0.01145715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00482713564761704,"score_gpt":0.1768601526020307,"score_spread":0.1720330169544136,"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."}}