{"id":"W2105382159","doi":"10.1007/s11665-012-0191-6","title":"A True-Stress Creep Model Based on Deformation Mechanisms for Polycrystalline Materials","year":2012,"lang":"en","type":"article","venue":"Journal of Materials Engineering and Performance","topic":"High Temperature Alloys and Creep","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":false,"ca_institutions":"Rolls-Royce (Canada); National Research Council Canada","funders":"","keywords":"Creep; Materials science; Climb; Dislocation; Deformation (meteorology); Grain Boundary Sliding; Intergranular corrosion; Dislocation creep; Stress (linguistics); Deformation mechanism; Diffusion creep; Metallurgy; Intergranular fracture; Grain boundary; Composite material; Thermodynamics; Alloy; Microstructure","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004412492,0.0004928478,0.0008533839,0.0003679593,0.0003608421,0.0009449881,0.002178282,0.00193816,0.002302011],"category_scores_gemma":[0.001004975,0.0004956131,0.0007079125,0.0005821341,0.0007984114,0.002295502,0.0004578668,0.0008889833,0.0005814468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005196002,"about_ca_system_score_gemma":0.0008534294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002585963,"about_ca_topic_score_gemma":0.002716935,"domain_scores_codex":[0.9998537,0.00002673542,0.0000136683,0.00003357295,0.00005409528,0.00001815888],"domain_scores_gemma":[0.9997374,0.00006810922,0.00002680711,0.00006267268,0.0000891155,0.00001581479],"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":[0.00004013837,0.00006750944,0.0004033275,0.0001328118,0.00003127023,0.0002691371,0.00009058789,0.8901761,0.01744344,0.07847004,0.001528995,0.01134661],"study_design_scores_gemma":[0.000004292589,0.000009760102,0.0001041341,0.00000420646,0.000005668681,0.00002664486,0.000004657135,0.9938573,0.0004480002,0.004953776,0.0005752903,0.000006342461],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07585692,0.002238764,0.9018531,0.00085974,0.0004071757,0.0001247143,0.0003568098,0.0003870513,0.01791571],"genre_scores_gemma":[0.8879833,0.002984896,0.07675837,0.0003506546,0.0001961707,0.00031274,0.0003942636,0.000326765,0.03069295],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002585963,"threshold_uncertainty_score":0.007701039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006370244165765176,"score_gpt":0.1850999973887608,"score_spread":0.1787297532229956,"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."}}