{"id":"W2910246595","doi":"10.2316/j.2019.206-5582","title":"STUDY ON RUST DETECTION OF RC STRUCTURE BASED ON ELECTROMAGNETIC PULSED EDDY CURRENT","year":2018,"lang":"en","type":"article","venue":"International Journal of Robotics and Automation","topic":"Non-Destructive Testing Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Fund for Distinguished Young Scholars; National Key Research and Development Program of China","keywords":"Current (fluid); Eddy current; Rust (programming language); Electrical engineering; Computer science; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0003055315,0.0003355259,0.0003044402,0.0004199757,0.0001355618,0.0002134884,0.0004972149,0.0003925743,0.0004941004],"category_scores_gemma":[0.0008966108,0.0001908923,0.0002052017,0.0001833746,0.0003192218,0.0004932703,0.0001272924,0.0001709823,0.000169981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001877398,"about_ca_system_score_gemma":0.0001463756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004505604,"about_ca_topic_score_gemma":0.0007376471,"domain_scores_codex":[0.9995697,0.00005622874,0.00001413088,0.0000788773,0.000255391,0.00002557957],"domain_scores_gemma":[0.999029,0.0002855051,0.0001619984,0.0000840581,0.0003951285,0.0000442719],"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":[0.0002246676,0.00004745148,0.008871007,0.0002738878,0.00003199986,0.0006880293,0.0004210763,0.004596196,0.951488,0.00028766,0.0002365313,0.03283355],"study_design_scores_gemma":[0.00003661137,0.001732044,0.03920519,0.00003461795,0.0001069077,0.001509017,0.0003534574,0.08504615,0.8687714,0.0002216837,0.002930203,0.00005271927],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9438598,0.0004799828,0.05380427,0.00004958474,0.00002831282,0.00004231721,0.0000386025,0.000297323,0.001399703],"genre_scores_gemma":[0.9909505,0.0001172379,0.008323036,0.00001230165,0.000009364246,0.000008937361,0.00002251752,0.00001330944,0.0005428391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004972149,"threshold_uncertainty_score":0.001652896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01169757217405702,"score_gpt":0.2731956504645709,"score_spread":0.2614980782905139,"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."}}