{"id":"W2909631501","doi":"10.1007/s11661-018-5085-2","title":"Sensitivity of Crystal Stress Distributions to the Definition of Virtual Two-Phase Samples","year":2019,"lang":"en","type":"article","venue":"Metallurgical and Materials Transactions A","topic":"Microstructure and Mechanical Properties of Steels","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Nuclear Laboratories","funders":"","keywords":"Materials science; Microstructure; Strain rate; Austenite; Plasticity; Neutron diffraction; Ferrite (magnet); Hardening (computing); Composite material; Crystallography; Crystal structure","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":[0.0001552552,0.00008665851,0.0002302256,0.00002256922,0.00004414962,0.00001976863,0.00004242225,0.00004351128,0.0006910221],"category_scores_gemma":[0.000007587768,0.00006048273,0.0000558018,0.00006652367,0.00004639522,0.000064116,0.000008423896,0.00005181136,0.00000784377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005994691,"about_ca_system_score_gemma":0.000005335457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001518116,"about_ca_topic_score_gemma":0.00007877614,"domain_scores_codex":[0.9994311,0.00004820269,0.0002328803,0.00009802556,0.00007935431,0.0001104105],"domain_scores_gemma":[0.9997215,0.00005942663,0.00002451046,0.000113141,0.00003183569,0.00004957795],"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":[0.0000606185,0.00005105792,2.422332e-7,0.00007300252,0.00004492309,8.600538e-7,0.00006770729,0.00279768,0.992435,0.003284986,0.000005907923,0.001177957],"study_design_scores_gemma":[0.0008957234,0.000215076,0.0002083549,0.00006210899,0.0001119442,0.00003735379,0.0001635869,0.0008694401,0.9943039,0.0004463439,0.002527737,0.0001584614],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7093241,0.00003306907,0.2888955,0.00003781348,0.0001593369,0.0001520073,0.001314454,0.0000220508,0.00006166576],"genre_scores_gemma":[0.9992293,0.00004192792,0.0006171906,0.000009852314,0.00001958446,0.00001004477,0.00004111432,0.000007794715,0.00002321142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2899052,"threshold_uncertainty_score":0.7566207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01506828501868808,"score_gpt":0.2189816726692091,"score_spread":0.2039133876505211,"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."}}