{"id":"W2083189107","doi":"10.1007/s11661-001-0346-9","title":"A dislocation-based model for variant selection during the γ-to-α′ transformation","year":2001,"lang":"en","type":"article","venue":"Metallurgical and Materials Transactions A","topic":"Microstructure and Mechanical Properties of Steels","field":"Engineering","cited_by":49,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Nuclear Laboratories; Steacie Institute for Molecular Sciences; McGill University","funders":"","keywords":"Materials science; Rotational symmetry; Austenite; Transformation (genetics); Dislocation; Slip (aerodynamics); Martensite; Diffusionless transformation; Plasticity; Shear (geology); Crystallography; Shear matrix; Geometry; Mathematics; Metallurgy; Composite material; Thermodynamics; Physics; Microstructure; Chemistry; Alloy","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":[0.0001049803,0.0001014169,0.0001285422,0.00003365908,0.0002155436,0.00008482514,0.00005213574,0.00005793548,0.0002001532],"category_scores_gemma":[0.000002719711,0.00007117505,0.00004688358,0.00008749603,0.00001483735,0.000117795,0.00000126274,0.00004830349,0.000004327425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000019651,"about_ca_system_score_gemma":0.000007221517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002501014,"about_ca_topic_score_gemma":0.00009487309,"domain_scores_codex":[0.9994556,0.00001222162,0.0001999573,0.0001124258,0.00006205244,0.0001577546],"domain_scores_gemma":[0.9998196,0.00001664406,0.00001132126,0.0000654583,0.00002631516,0.00006059641],"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":[0.000126306,0.00001905766,2.779596e-8,0.0001158664,0.00003006724,4.925e-7,0.0002375508,0.5618735,0.4353237,0.0003852018,0.000007688232,0.001880563],"study_design_scores_gemma":[0.0005807425,0.00003990596,0.00003657375,0.00001727123,0.00007008662,0.00005403332,0.00002821883,0.9234659,0.07088326,0.0004041939,0.004258306,0.0001615038],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.219997,0.00002497361,0.77906,0.0002554141,0.0001050629,0.0003819444,0.00003124897,0.0001005889,0.00004376253],"genre_scores_gemma":[0.9974562,0.00005817871,0.00176932,0.00008476534,0.00003964177,0.0002443133,0.000009246103,0.00001633457,0.0003220245],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7774592,"threshold_uncertainty_score":0.2902434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01055430613402965,"score_gpt":0.1972141941730091,"score_spread":0.1866598880389795,"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."}}