{"id":"W42514254","doi":"10.5006/c2002-02079","title":"Stress Effects on MFL Signals","year":2002,"lang":"en","type":"article","venue":"","topic":"Acoustic Wave Resonator Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Stress (linguistics); Materials science; Composite material; Structural engineering; Metallurgy; Engineering","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":[0.0005743615,0.0004768419,0.0002938137,0.0004232754,0.0002755864,0.0004949456,0.0003870683,0.0004577137,0.002685131],"category_scores_gemma":[0.002349569,0.0001675733,0.0001437204,0.0002373667,0.0006157514,0.0005340949,0.0003746647,0.000324127,0.0006912971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003976911,"about_ca_system_score_gemma":0.000118955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008761783,"about_ca_topic_score_gemma":0.0007663629,"domain_scores_codex":[0.999337,0.00008440481,0.00003286208,0.0001393402,0.0003334861,0.00007290166],"domain_scores_gemma":[0.99644,0.001163503,0.0006352901,0.0002613027,0.001322092,0.0001778355],"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":[0.0004256955,0.00004588777,0.002945413,0.0001016683,0.000008981745,0.0002112384,0.000288336,0.002105254,0.9782252,0.0001279116,0.0001681528,0.0153463],"study_design_scores_gemma":[0.00002142828,0.001319802,0.0313848,0.00003127098,0.00002263186,0.0003563789,0.0003371474,0.02197855,0.9420364,0.0001782434,0.002296478,0.00003676598],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875001,0.0003598632,0.009560459,0.0001005911,0.00003589,0.00002258131,0.0002144395,0.0003023779,0.001903623],"genre_scores_gemma":[0.9985902,0.00004363315,0.0006188161,0.00002143336,0.000006165693,0.000008018873,0.00006064523,0.0000256499,0.0006253884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002685131,"threshold_uncertainty_score":0.008982658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009926726664362298,"score_gpt":0.1918826028181357,"score_spread":0.1819558761537734,"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."}}