{"id":"W2997479167","doi":"10.3390/s20010267","title":"Distributed Fiber Optic Sensing for Real-Time Monitoring of Gas in Riser during Offshore Drilling","year":2020,"lang":"en","type":"article","venue":"Sensors","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Schlumberger (Canada)","funders":"Gulf Research Program; National Academy of Sciences","keywords":"Submarine pipeline; Petroleum engineering; Drilling; Optical fiber; Offshore drilling; Real-time data; Marine engineering; Measurement while drilling; Geology; Environmental science; Engineering; Computer science; Mechanical engineering; Geotechnical engineering; Telecommunications; Operating system","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":[0.0002304683,0.0003792128,0.000200705,0.0004395791,0.0002328133,0.0002605109,0.0004209101,0.0003367921,0.0004035954],"category_scores_gemma":[0.0003662649,0.0001169344,0.0001276038,0.0003429206,0.0002151093,0.0006309877,0.0003097036,0.0002814909,0.0001102994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00027951,"about_ca_system_score_gemma":0.0003095182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001768362,"about_ca_topic_score_gemma":0.005568924,"domain_scores_codex":[0.9997842,0.00002407564,0.000006607207,0.00006645956,0.00009899736,0.00001974247],"domain_scores_gemma":[0.999837,0.00004346456,0.00004038566,0.00001434408,0.00005363037,0.00001104529],"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":[0.0004890595,0.0001554258,0.02296039,0.0003075134,0.00002608597,0.0002096903,0.0003553848,0.01605979,0.8096012,0.0006590207,0.000945257,0.1482313],"study_design_scores_gemma":[0.00007258928,0.0009454123,0.05152237,0.00007242705,0.00009675437,0.0004222319,0.0007701813,0.3705443,0.5676079,0.001648712,0.006170927,0.0001261819],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8848259,0.0009224168,0.1096629,0.000190552,0.0001017581,0.00008168766,0.0003713949,0.0007811892,0.00306211],"genre_scores_gemma":[0.9691066,0.0002464756,0.02996541,0.00004268973,0.00001510971,0.00002711864,0.00006953422,0.00001434012,0.0005127587],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001768362,"threshold_uncertainty_score":0.003516138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0132808568039835,"score_gpt":0.2280139093397341,"score_spread":0.2147330525357506,"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."}}