{"id":"W3214328490","doi":"10.1016/j.ijplas.2021.103139","title":"Dislocation density in cellular rapid solidification using phase field modeling and crystal plasticity","year":2021,"lang":"en","type":"article","venue":"International Journal of Plasticity","topic":"Aluminum Alloy Microstructure Properties","field":"Engineering","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Academy of Finland; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Materials science; Dislocation; Microstructure; Plasticity; Crystal plasticity; Residual stress; Work (physics); Shrinkage; Phase (matter); Nucleation; Grain boundary; Composite material; Metallurgy; Thermodynamics","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":[0.0001766494,0.0003352651,0.0003970904,0.0003252541,0.0001862993,0.0003952915,0.0005847187,0.0005660129,0.0004450584],"category_scores_gemma":[0.0004003255,0.0002188789,0.0004718385,0.00027591,0.0004844014,0.0004743593,0.0003219499,0.0002992826,0.0001052409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006121706,"about_ca_system_score_gemma":0.0006102878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006638641,"about_ca_topic_score_gemma":0.004054794,"domain_scores_codex":[0.9999307,0.00001784136,0.000002835497,0.00001216436,0.00002561574,0.00001075526],"domain_scores_gemma":[0.9998796,0.00005383194,0.00002350961,0.00001140835,0.00002443258,0.000007289121],"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":[0.00001188911,0.00001534955,0.0002979915,0.0000135399,0.000005083258,0.0000420331,0.0000212327,0.9829747,0.007465086,0.006697521,0.0000374093,0.002418058],"study_design_scores_gemma":[0.000001472306,0.000006131041,0.00005533382,7.862069e-7,7.78064e-7,0.00000579907,0.000002187387,0.9988369,0.0004413345,0.0005706317,0.00007719605,0.000001344219],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3456358,0.0005016389,0.6479253,0.0001369827,0.00002673634,0.00006645718,0.0001025859,0.0001653795,0.005439143],"genre_scores_gemma":[0.9766828,0.0002209531,0.02040214,0.0000131126,0.000006516414,0.00005888923,0.00004249928,0.0000325345,0.002540544],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006638641,"threshold_uncertainty_score":0.01319999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01927524981133576,"score_gpt":0.2487516069516708,"score_spread":0.229476357140335,"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."}}