{"id":"W3109253588","doi":"10.1088/1757-899x/967/1/012076","title":"Evaluation of 22MnB5 Steel Austenitization Sub-Models for Simulating the Heating Phase of Hot Stamping","year":2020,"lang":"en","type":"article","venue":"IOP Conference Series Materials Science and Engineering","topic":"Metal Alloys Wear and Properties","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Hot stamping; Metallurgy; Materials science; Phase (matter); Stamping; Austenite; Nuclear engineering; Microstructure; Engineering; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005331495,0.0006631513,0.0005830658,0.0004031895,0.0002555477,0.0005248039,0.0007494421,0.0008340592,0.001550232],"category_scores_gemma":[0.0008997812,0.0002360185,0.0004449645,0.0002436718,0.0002551085,0.0002746075,0.0002283018,0.0004323388,0.0002562067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009521845,"about_ca_system_score_gemma":0.0005546784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01414482,"about_ca_topic_score_gemma":0.009895143,"domain_scores_codex":[0.9998605,0.00003680589,0.000008912618,0.00002653171,0.00004507227,0.00002212887],"domain_scores_gemma":[0.9995424,0.0002281164,0.00004953541,0.00006309002,0.00009091878,0.00002603287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008100514,0.00005258673,0.001371488,0.00004648297,0.00001298611,0.00003373072,0.00002760309,0.9854797,0.009548735,0.0002878753,0.00008422013,0.002973689],"study_design_scores_gemma":[0.000004303467,0.00004819653,0.0004151404,0.000001896373,0.000002620803,0.000004491517,0.000007597444,0.9968466,0.002526791,0.0000341019,0.0001056195,0.000002575029],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9599487,0.0001922479,0.0325468,0.00006543665,0.00002566398,0.00008749137,0.0004669619,0.0005214704,0.00614525],"genre_scores_gemma":[0.9942075,0.00003959963,0.004657248,0.000006139751,0.000001866869,0.00002725606,0.0001387963,0.00004770127,0.000873878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01414482,"threshold_uncertainty_score":0.02812499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1210900932130054,"score_gpt":0.2980168535134144,"score_spread":0.176926760300409,"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."}}