{"id":"W2804463807","doi":"10.1007/s42243-018-0070-y","title":"Influence of initial microstructure and grain size on transformation of bainite to austenite in large size forgings","year":2018,"lang":"en","type":"article","venue":"Journal of Iron and Steel Research International","topic":"Microstructure and Mechanical Properties of Steels","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Cégep de Sorel-Tracy; École de Technologie Supérieure","funders":"Mitacs","keywords":"Austenite; Bainite; Materials science; Nucleation; Microstructure; Metallurgy; Grain size; Optical microscope; Ingot; Continuous cooling transformation; Alloy; Scanning electron microscope; Composite material; Thermodynamics; Physics","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":[0.0002358091,0.000110717,0.0002216166,0.0002032316,0.0002788539,0.0003352526,0.0001707643,0.0001983296,0.001625656],"category_scores_gemma":[0.0007361865,0.0001666145,0.0001288058,0.0001201062,0.0002788151,0.0002440766,0.0001242427,0.000198539,0.0001497039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000447438,"about_ca_system_score_gemma":0.0003265491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003587147,"about_ca_topic_score_gemma":0.008288953,"domain_scores_codex":[0.9999285,0.000008907105,0.000005380755,0.00001579014,0.00002174921,0.00001974493],"domain_scores_gemma":[0.9995373,0.0002228792,0.00006450094,0.00002098741,0.00009785772,0.00005656705],"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":[0.001676474,0.0001264527,0.008855791,0.00007009992,0.00001710004,0.0003066523,0.0001407853,0.003465749,0.9808154,0.0002081533,0.0001079899,0.004209359],"study_design_scores_gemma":[0.00008657733,0.001276109,0.1008381,0.000010348,0.00003608633,0.0001636474,0.0002797459,0.009544042,0.8870015,0.0001681715,0.0005691316,0.00002651021],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993311,0.0001045765,0.0001575903,0.000008246257,0.000004886048,0.000003173181,0.00001932308,0.000007112529,0.0003640954],"genre_scores_gemma":[0.9996731,0.00003682827,0.00007049762,0.000002993756,0.000001267907,0.00000132283,0.00001513556,0.000003819357,0.0001950099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003587147,"threshold_uncertainty_score":0.00713253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01811243274313388,"score_gpt":0.3285889460295578,"score_spread":0.3104765132864239,"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."}}