{"id":"W2896895458","doi":"10.1049/iet-smt.2018.5404","title":"Research on stress detection technology of long‐distance pipeline applying non‐magnetic saturation","year":2018,"lang":"en","type":"article","venue":"IET Science Measurement & Technology","topic":"Non-Destructive Testing Techniques","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto; University of New Brunswick","funders":"National Natural Science Foundation of China","keywords":"Saturation (graph theory); Pipeline (software); Stress (linguistics); Computer science; Nuclear magnetic resonance; Materials science; Engineering; Physics; Mechanical engineering; Mathematics","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":[0.0002938751,0.0003608901,0.0002530224,0.0003010382,0.0001563135,0.0003018001,0.0005329453,0.0003813342,0.000917348],"category_scores_gemma":[0.0006485559,0.0002540508,0.0001965288,0.000306674,0.0003363088,0.0009498047,0.0002810492,0.0002775106,0.0002527124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003758384,"about_ca_system_score_gemma":0.0002635884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007062875,"about_ca_topic_score_gemma":0.000770157,"domain_scores_codex":[0.999742,0.00003237089,0.000007950885,0.00006000153,0.0001363309,0.00002137589],"domain_scores_gemma":[0.9995065,0.000142029,0.00008075174,0.00004073616,0.0002014506,0.00002845196],"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":[0.00004369099,0.00001687031,0.000634526,0.0002090233,0.000008853654,0.00007698415,0.0001693022,0.00126821,0.9801099,0.0009354302,0.0001041426,0.01642302],"study_design_scores_gemma":[0.00001117172,0.0006909145,0.004717479,0.00003278114,0.00002789354,0.0005075738,0.0001835488,0.03944624,0.9485592,0.00058797,0.005204359,0.00003077089],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6897591,0.0055938,0.2982218,0.0005150695,0.0001597094,0.00008230068,0.0001004828,0.0004584184,0.005109335],"genre_scores_gemma":[0.9500296,0.001947035,0.04386277,0.00005153402,0.000041261,0.00003213192,0.00005836507,0.00003439453,0.003943008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000917348,"threshold_uncertainty_score":0.003068805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05100874130336751,"score_gpt":0.3205190019737324,"score_spread":0.2695102606703649,"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."}}