{"id":"W2048281390","doi":"","title":"MONITORING OF PIPE-WALL THICKNESS AND ITS THINNING RATE BY ULTRASONIC TECHNIQUE","year":2012,"lang":"en","type":"article","venue":"","topic":"Non-Destructive Testing Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of New Brunswick","funders":"","keywords":"Ultrasonic sensor; Thinning; Materials science; Ultrasonic testing; Measure (data warehouse); Canalisation; Petrochemical; Corrosion; Erosion; Acoustics; Composite material; Geology; Engineering; Computer science; Mechanical engineering; Piping","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":[0.0003348176,0.0002278288,0.00025132,0.0005920231,0.0001144,0.0001959826,0.0003307311,0.0002727136,0.0004619386],"category_scores_gemma":[0.0008897569,0.0001804291,0.0001084854,0.0004743078,0.0001662463,0.0002854235,0.0001787213,0.0002080114,0.0001770825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001409804,"about_ca_system_score_gemma":0.000111461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007224789,"about_ca_topic_score_gemma":0.0009051408,"domain_scores_codex":[0.9997024,0.00003837559,0.0000129244,0.00004939426,0.0001780745,0.00001885916],"domain_scores_gemma":[0.9994864,0.0001674002,0.0001335742,0.00004448282,0.0001526598,0.00001542463],"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":[0.0001523945,0.00004939374,0.02129586,0.0001081007,0.00001414117,0.00008782156,0.0001613669,0.003654839,0.9073264,0.0001281411,0.0001797522,0.06684176],"study_design_scores_gemma":[0.0000143564,0.0006120511,0.09843787,0.00002478355,0.00004560097,0.0005723067,0.000160839,0.07260709,0.8257412,0.0001231002,0.00161607,0.00004466458],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9099531,0.0004151534,0.08701375,0.00002950758,0.00001697651,0.00004400719,0.0001878008,0.0005413718,0.001798276],"genre_scores_gemma":[0.9617459,0.0002826477,0.03681336,0.00001097788,0.000008306938,0.00002491881,0.00008999326,0.00002701093,0.0009970105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007224789,"threshold_uncertainty_score":0.001770675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01587551091673253,"score_gpt":0.2481181471100336,"score_spread":0.232242636193301,"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."}}