{"id":"W4414401812","doi":"10.5703/1288284317923","title":"E-Strip® Peening Intensity Sensor - Linearity, Variability And Connectivity","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kinova (Canada)","funders":"","keywords":"Peening; STRIPS; Intensity (physics); Linearity; Sensitivity (control systems); Consistency (knowledge bases)","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":[0.001048185,0.0004648159,0.0003578074,0.0006520312,0.0001723366,0.0008051329,0.001195631,0.0007697776,0.003362054],"category_scores_gemma":[0.002800786,0.0003353607,0.0002675861,0.0007023063,0.0004085386,0.001250458,0.0007129741,0.0006253935,0.000927853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000287792,"about_ca_system_score_gemma":0.0002187938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004533734,"about_ca_topic_score_gemma":0.0005064228,"domain_scores_codex":[0.9977108,0.0002106541,0.00007864508,0.0003388,0.001582528,0.00007849155],"domain_scores_gemma":[0.9983497,0.0004662188,0.0002103725,0.000212638,0.0007262846,0.00003470717],"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":[0.0005148127,0.0001140084,0.00969122,0.0003806903,0.00005461632,0.0002115594,0.0002126967,0.004731915,0.8214262,0.001689623,0.002548476,0.1584242],"study_design_scores_gemma":[0.00003708274,0.001220357,0.03125257,0.00005491419,0.00008457812,0.001776132,0.0001976914,0.04548814,0.895348,0.001125179,0.02329426,0.0001212876],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4872995,0.002128257,0.4719337,0.0006890877,0.0003386611,0.0003312209,0.001138067,0.00544723,0.03069432],"genre_scores_gemma":[0.9303961,0.0005355683,0.05310875,0.000409771,0.00006464633,0.0001243507,0.0008025561,0.0002110977,0.0143471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003362054,"threshold_uncertainty_score":0.01124722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009898341621076,"score_gpt":0.2350975279531176,"score_spread":0.2251991863320416,"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."}}