{"id":"W196424518","doi":"10.5006/c2004-04739","title":"Application of Fiber Optic Sensors to Monitor Pipeline Corrosion","year":2004,"lang":"en","type":"article","venue":"","topic":"Advanced Measurement and Detection Methods","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Pipeline (software); Corrosion; Optical fiber; Fiber optic sensor; Materials science; Corrosion monitoring; Optoelectronics; Computer science; Metallurgy; Engineering; Mechanical engineering; Telecommunications","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":[0.0002542073,0.0003415029,0.0001523132,0.0004701721,0.0001415135,0.0001882,0.0002551864,0.0002864952,0.0006874452],"category_scores_gemma":[0.0004468741,0.0001451532,0.0001171565,0.0002109209,0.000195322,0.0003561168,0.0001469226,0.0001989252,0.0001234335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003745063,"about_ca_system_score_gemma":0.0002107572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002006398,"about_ca_topic_score_gemma":0.002369357,"domain_scores_codex":[0.9997181,0.00003549305,0.000009136501,0.00004259467,0.0001785187,0.00001606668],"domain_scores_gemma":[0.9997285,0.00005201928,0.00006140298,0.00001714047,0.0001266749,0.00001430794],"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":[0.0001008632,0.0000511654,0.006620937,0.00008674434,0.00001830181,0.00005890449,0.000062261,0.002698236,0.9451322,0.0003453098,0.0004411732,0.04438395],"study_design_scores_gemma":[0.00002261723,0.000539883,0.01215505,0.00001426216,0.00003647226,0.0002575838,0.0000408299,0.03807832,0.9423828,0.0001891251,0.006257529,0.0000255326],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8674669,0.001784875,0.1249731,0.0002227389,0.0001093438,0.0001059338,0.0003404717,0.001227219,0.003769365],"genre_scores_gemma":[0.942614,0.0005160861,0.05487474,0.00004041053,0.00001824258,0.00002681959,0.00009915602,0.00001295356,0.001797667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002006398,"threshold_uncertainty_score":0.003989458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01674620550419108,"score_gpt":0.2767628098108522,"score_spread":0.2600166043066611,"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."}}