{"id":"W2886936201","doi":"10.1002/srin.201800207","title":"Role of Prior Martensite in a 2.0 GPa Multiple Phase Steel","year":2018,"lang":"en","type":"article","venue":"steel research international","topic":"Microstructure and Mechanical Properties of Steels","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Yangzhou University","keywords":"Martensite; Austenite; Materials science; Isothermal process; Quenching (fluorescence); Ferrite (magnet); Bainite; Ultimate tensile strength; Microstructure; Metallurgy; Phase (matter); Isothermal transformation diagram; Composite material; Thermodynamics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004886337,0.00009894741,0.000146342,0.0002889473,0.0000406718,0.00003190139,0.0003862793,0.00007721323,0.0006851478],"category_scores_gemma":[0.0003020511,0.00008899771,0.00004671295,0.0001916414,0.0001435206,0.0001577392,0.0001484854,0.0003110156,0.000109104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001049756,"about_ca_system_score_gemma":0.00004055443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000780841,"about_ca_topic_score_gemma":0.0002107798,"domain_scores_codex":[0.9986104,0.00004172721,0.0002855047,0.0001866869,0.0005316002,0.0003440225],"domain_scores_gemma":[0.9991742,0.0001067229,0.00002157288,0.0002060669,0.0004029919,0.00008847449],"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":[0.000241218,0.0000892537,0.0003251237,0.00003197901,0.00004512641,0.000008203406,0.0005138438,0.00006980851,0.9595841,0.001457153,0.002671892,0.03496226],"study_design_scores_gemma":[0.004121083,0.0005223848,0.005569996,0.0001954606,0.000004533196,0.00001576712,0.0006932155,0.1092156,0.6675008,0.002652781,0.2092273,0.0002810663],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9651568,0.0002320925,0.0001476295,0.0001391567,0.0004235557,0.0002859019,0.00009048736,0.00004880675,0.03347558],"genre_scores_gemma":[0.9977873,0.00004152595,0.0006165129,0.00002852376,0.0002912449,0.0000201536,0.00001571966,0.00002179619,0.001177248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2920833,"threshold_uncertainty_score":0.7501888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04013818003216846,"score_gpt":0.3378776134302818,"score_spread":0.2977394333981133,"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."}}