{"id":"W2089648627","doi":"10.1016/j.actamat.2007.12.039","title":"Modeling the effect of Al3Sc precipitates on the yield stress and work hardening of an Al–Mg–Sc alloy","year":2008,"lang":"en","type":"article","venue":"Acta Materialia","topic":"Aluminum Alloy Microstructure Properties","field":"Engineering","cited_by":108,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Precipitation hardening; Alloy; Precipitation; Volume fraction; Work hardening; Aluminium; Hardening (computing); Metallurgy; Metastability; Thermodynamics; Composite material; Microstructure; Chemistry","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":[0.0002155004,0.0004933677,0.0003999664,0.0003742237,0.0004400505,0.0005843073,0.0009429016,0.001265615,0.00205785],"category_scores_gemma":[0.000789837,0.0004792648,0.0005343365,0.000434217,0.0005554698,0.0004725077,0.000256224,0.0003051801,0.0002068433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001173386,"about_ca_system_score_gemma":0.001291035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04354742,"about_ca_topic_score_gemma":0.02673401,"domain_scores_codex":[0.9999268,0.0000106275,0.000003821241,0.00001282102,0.0000211507,0.00002477566],"domain_scores_gemma":[0.9996954,0.0001295751,0.00005224466,0.00002198721,0.00007179128,0.0000290543],"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":[0.00008675868,0.00005750439,0.001321771,0.00002968021,0.00001243422,0.0001018483,0.00002287203,0.9877303,0.008506926,0.0008738041,0.0001032616,0.001152863],"study_design_scores_gemma":[0.0000116783,0.00001906506,0.0004470533,0.000001461965,0.000005741516,0.000005886322,0.00000798146,0.9979212,0.001387569,0.0001022841,0.00008683186,0.000003310286],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834363,0.0001892922,0.006294745,0.0001448649,0.00002646749,0.0000309547,0.0001437984,0.000120893,0.009612524],"genre_scores_gemma":[0.997926,0.00004660429,0.0007222349,0.00001245609,0.000004817834,0.000007732593,0.00003109413,0.00001785562,0.001231094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04354742,"threshold_uncertainty_score":0.08658791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01400111026011928,"score_gpt":0.1979490396868495,"score_spread":0.1839479294267302,"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."}}