{"id":"W2906615287","doi":"10.4028/www.scientific.net/msf.941.2270","title":"Forensic Analyses of Stress-Strain Diagrams to Evaluate Contributions from Microstructure","year":2018,"lang":"en","type":"article","venue":"Materials science forum","topic":"Microstructure and mechanical properties","field":"Materials Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Queen's University","funders":"","keywords":"Materials science; Flow stress; Constitutive equation; Microstructure; Work hardening; Slip (aerodynamics); Plasticity; Mechanics; Ultimate tensile strength; Composite material; Thermodynamics; Physics; Finite element method","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009050283,0.0002475528,0.0004729393,0.0001444944,0.0004900912,0.0003294231,0.0009590221,0.0001045836,0.003284983],"category_scores_gemma":[0.0006260677,0.0001721191,0.00006910593,0.0005315141,0.001504429,0.0003811556,0.0004554872,0.0000580365,0.0003226346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007405024,"about_ca_system_score_gemma":0.0002226316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007100942,"about_ca_topic_score_gemma":0.0002526013,"domain_scores_codex":[0.9972726,0.0001029614,0.0005763141,0.0006493951,0.0005921228,0.0008065819],"domain_scores_gemma":[0.9981995,0.0000458968,0.0002312438,0.0006455583,0.0006296388,0.000248191],"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":[0.00008466493,0.00001681217,0.00005709827,0.000008882513,0.000006110668,0.000001156372,0.0003453596,0.00001068301,0.9975657,0.0008740419,0.0005363537,0.0004931104],"study_design_scores_gemma":[0.0002725392,0.0002821863,0.001573055,0.00006191563,0.00003521089,0.000005344172,0.0002162433,0.00001651287,0.9853274,0.01158305,0.0004028152,0.0002236956],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862513,0.00006727142,0.001493503,0.0005309838,0.002163606,0.0003823418,0.008958376,0.000067784,0.00008481479],"genre_scores_gemma":[0.9951364,0.000002460954,0.003866867,0.0005470261,0.0002916285,0.00001702481,0.00007066475,0.00001552292,0.0000523508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0122383,"threshold_uncertainty_score":0.9976261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02891920535923829,"score_gpt":0.3264153331764562,"score_spread":0.2974961278172178,"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."}}