{"id":"W285308929","doi":"10.1520/stp11538s","title":"Fatigue and Reliability Assessment Incorporating Computer Strain Gage Network Data","year":2009,"lang":"en","type":"book-chapter","venue":"ASTM International eBooks","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Strain gauge; Reliability (semiconductor); Structural engineering; Process (computing); Traverse; Paris' law; Fatigue testing; Data acquisition; Computer science; Engineering; Reliability engineering; Fracture mechanics; Geology; Crack closure","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003643348,0.0003517899,0.000312556,0.00009007371,0.00007465027,0.00009265665,0.0006487178,0.0002627756,0.00003795256],"category_scores_gemma":[0.00001182695,0.0003710505,0.00004498064,0.000008566126,0.00007161591,0.000117548,0.0003982862,0.0007571126,0.000003657195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002707782,"about_ca_system_score_gemma":0.00005573946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000212581,"about_ca_topic_score_gemma":0.00001538538,"domain_scores_codex":[0.9983732,0.00001895181,0.0005318481,0.0004712817,0.0003845859,0.000220097],"domain_scores_gemma":[0.9988351,0.0001379127,0.0001741261,0.0006545682,0.00009673079,0.0001015286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001008131,0.000004204492,0.0001607615,0.0001549323,0.0001280758,0.00003815971,0.00005658105,0.002887016,0.00001712246,0.1248202,0.007741264,0.8639816],"study_design_scores_gemma":[0.0006096006,0.0002580905,0.0208864,0.002421359,0.00008854319,0.00009681973,0.000007976832,0.2441709,0.00003932978,0.4907751,0.2389044,0.001741344],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.0009093473,0.0001442557,0.02694625,0.0002167743,0.003821667,0.0008435225,0.0006738016,0.001375668,0.9650687],"genre_scores_gemma":[0.3250761,0.0001400272,0.6213284,0.0005256738,0.01029412,0.00004786565,0.002399564,0.0003101192,0.0398782],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9251905,"threshold_uncertainty_score":0.9998741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05109034355460208,"score_gpt":0.3236702054640004,"score_spread":0.2725798619093984,"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."}}