{"id":"W4309765555","doi":"10.1016/j.jmst.2022.09.051","title":"On the modeling of deformation mechanisms in a Mg-3Al-1Zn alloy under biaxial tension","year":2022,"lang":"en","type":"article","venue":"Journal of Material Science and Technology","topic":"Magnesium Alloys: Properties and Applications","field":"Materials Science","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Crystal twinning; Materials science; Slip (aerodynamics); Tension (geology); Composite material; Ultimate tensile strength; Deformation (meteorology); Compression (physics); Texture (cosmology); Uniaxial tension; Alloy; Thermodynamics; Physics; Microstructure","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001750035,0.0000609978,0.0001364395,0.0003004311,0.0003250173,0.00004303851,0.0004526019,0.00003806929,0.000203255],"category_scores_gemma":[0.00009407802,0.00003667052,0.00001596139,0.0005209296,0.0002362212,0.0001796999,0.0002614995,0.0001193358,0.000002302145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006509685,"about_ca_system_score_gemma":0.0001252085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006029385,"about_ca_topic_score_gemma":0.00000645821,"domain_scores_codex":[0.9989265,0.00003973069,0.0003455569,0.0001165418,0.0004059153,0.000165721],"domain_scores_gemma":[0.9994216,0.00001627829,0.0002403686,0.0001380922,0.0001595294,0.00002411436],"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":[0.0000512566,0.00003219606,0.000003745122,0.000003716125,5.406379e-7,0.000001251088,0.00007442164,0.001728965,0.9192022,0.07864068,0.0000174397,0.0002435982],"study_design_scores_gemma":[0.000596549,0.001164797,0.00009785696,0.00003954113,0.00001378323,0.0002743382,0.004384893,0.03791395,0.7745804,0.1805506,0.0002246237,0.0001586659],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938443,0.00001251528,0.0004993438,0.005135611,0.0002973193,0.0001148817,0.000004035242,0.00001059248,0.00008141527],"genre_scores_gemma":[0.999281,0.00001191195,0.0005168673,0.0001497479,0.00001792726,0.00001332167,2.164513e-7,0.000003377143,0.000005619954],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1446218,"threshold_uncertainty_score":0.2499803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01729894903672053,"score_gpt":0.224808457155773,"score_spread":0.2075095081190525,"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."}}