{"id":"W1969780475","doi":"10.4028/www.scientific.net/amr.13-14.153","title":"Application of Acoustic Emission in Control of High-Pressure Pipe Overstraining","year":2006,"lang":"en","type":"article","venue":"Advanced materials research","topic":"Mechanical Engineering Research and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Petro-Canada","funders":"","keywords":"Acoustic emission; Consistency (knowledge bases); Process (computing); Engineering; Acoustics; Structural engineering; Computer science; Artificial intelligence","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":[0.0008318044,0.0003995188,0.0003850113,0.0004852252,0.0001741068,0.0002821618,0.0003082437,0.0003326756,0.0006257145],"category_scores_gemma":[0.001703496,0.0001337715,0.0001849517,0.000208475,0.0005032137,0.0003122209,0.0003679549,0.0002650956,0.00008492968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001376111,"about_ca_system_score_gemma":0.000116908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001795649,"about_ca_topic_score_gemma":0.0002435025,"domain_scores_codex":[0.9990909,0.0002331525,0.00004770759,0.0001012428,0.0004781991,0.00004876056],"domain_scores_gemma":[0.9988285,0.0006158889,0.0001989319,0.00007771601,0.0002386218,0.00004038064],"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":[0.0001731538,0.00003865515,0.000791199,0.0001437987,0.000004645771,0.00006211996,0.0001040394,0.0007056929,0.9760409,0.0001026938,0.0000139925,0.02181911],"study_design_scores_gemma":[0.00001517098,0.00158718,0.01101917,0.00001730671,0.00002176748,0.0003107611,0.00009224551,0.005929524,0.9797577,0.0000960113,0.001130305,0.00002283448],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.853856,0.001467335,0.1425853,0.00005322669,0.00005108408,0.0001521951,0.00003088764,0.0001566356,0.001647324],"genre_scores_gemma":[0.9662905,0.0006963909,0.03204097,0.00001876567,0.0000218369,0.00004873951,0.00002351254,0.00002748339,0.0008316592],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008318044,"threshold_uncertainty_score":0.004399002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01190267155159164,"score_gpt":0.2962951659259826,"score_spread":0.284392494374391,"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."}}