{"id":"W2801755126","doi":"10.2200/s00818ed1v01y201712sem001","title":"Hole-Drilling Method for Measuring Residual Stresses","year":2018,"lang":"en","type":"article","venue":"Synthesis SEM lectures on experimental mechanics","topic":"Welding Techniques and Residual Stresses","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Residual stress; Residual; Drilling; Deep hole drilling; Hole drilling method; Geology; Materials science; Mechanical engineering; Engineering; Computer science; Composite material; Algorithm","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":[0.0002423069,0.0003951368,0.0003515221,0.0001674238,0.0003118155,0.0001022611,0.0003692431,0.0002293255,0.0001207197],"category_scores_gemma":[0.0001765941,0.0003514939,0.0001481483,0.0001527961,0.00003285829,0.00008620929,0.00006865753,0.0001763393,0.00001662728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000147817,"about_ca_system_score_gemma":0.00001672225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003091085,"about_ca_topic_score_gemma":0.0000245154,"domain_scores_codex":[0.9983403,0.00006512236,0.0002968099,0.0004342565,0.0003281109,0.000535372],"domain_scores_gemma":[0.9989219,0.0004476795,0.00005963512,0.0003904999,0.00006151829,0.0001187329],"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":[0.0002504854,0.0001717805,0.000004677021,0.0001860248,0.0002774706,0.00001018971,0.0006285972,0.02478513,0.9423382,0.003798164,0.007317326,0.02023201],"study_design_scores_gemma":[0.0001657497,0.0003318917,0.000002435936,0.0002065215,0.000033583,0.000006534254,0.0001591525,0.01745464,0.9753573,0.001649999,0.004204604,0.0004276083],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1738343,0.00661948,0.8024954,0.0003801459,0.003018051,0.002067292,0.0002471546,0.005184756,0.006153406],"genre_scores_gemma":[0.9275635,0.00008302889,0.07106765,0.0001125465,0.0007452036,0.0002587499,0.000006074033,0.0001420549,0.00002118483],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7537292,"threshold_uncertainty_score":0.9998937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02698157878482318,"score_gpt":0.2870768396330486,"score_spread":0.2600952608482254,"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."}}