{"id":"W2031614452","doi":"10.1179/174328407x213206","title":"Deformation kinetics during dwell fatigue","year":2007,"lang":"en","type":"article","venue":"Materials Science and Technology","topic":"Microstructure and mechanical properties","field":"Materials Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Defence Research and Development Canada","keywords":"Materials science; Dislocation; Climb; Kinetics; Nucleation; Dwell time; Deformation (meteorology); Composite material; Mechanics; Structural engineering; Thermodynamics; Classical mechanics; Physics; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002817148,0.0003518889,0.0004016403,0.0005642688,0.0003399396,0.0005388645,0.0009143784,0.001072299,0.002355445],"category_scores_gemma":[0.0008053274,0.0003813639,0.0005373524,0.0002658189,0.0007748466,0.001451468,0.000433784,0.0005319917,0.0005197084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008293489,"about_ca_system_score_gemma":0.0004798851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003390911,"about_ca_topic_score_gemma":0.002181889,"domain_scores_codex":[0.999832,0.00001458883,0.00001029519,0.00004270092,0.00005779953,0.00004258356],"domain_scores_gemma":[0.9997657,0.0000901141,0.00004834789,0.00003610548,0.00003851092,0.00002115066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001201005,0.00008056722,0.00446955,0.0001396435,0.00001804868,0.0005749522,0.0004053912,0.816081,0.1285276,0.02743585,0.0004505915,0.02169671],"study_design_scores_gemma":[0.000006756688,0.00006418361,0.002599713,0.00001122125,0.000005771822,0.000237595,0.00004813948,0.9785826,0.01252864,0.003711477,0.002177042,0.00002694808],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7040114,0.001726375,0.2748112,0.0003177581,0.00008071822,0.000115575,0.0003745193,0.0004227998,0.01813962],"genre_scores_gemma":[0.9900597,0.0005123448,0.004201195,0.00002657646,0.000008372278,0.00004212832,0.0001121313,0.00006255515,0.004974908],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003390911,"threshold_uncertainty_score":0.007879794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01188194158537237,"score_gpt":0.2358042548322311,"score_spread":0.2239223132468587,"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."}}