{"id":"W2057318704","doi":"10.2118/173440-ms","title":"Cloud-Based Solution for Permanent Fiber-Optic DAS Flow Monitoring","year":2015,"lang":"en","type":"article","venue":"SPE Digital Energy Conference and Exhibition","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"Shell (Canada)","funders":"Shell Canada","keywords":"Computer science; Optical fiber; Cloud computing; Telecommunications; Operating system","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003522349,0.0001604288,0.0001349582,0.00005976104,0.00004458669,0.0001154756,0.00004844444,0.00007999846,0.000007266944],"category_scores_gemma":[0.00002670781,0.0001718582,0.00004118297,0.00006293171,0.00003886038,0.000420139,0.00001412471,0.00005776139,0.00002147506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009030147,"about_ca_system_score_gemma":0.00002758348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009792773,"about_ca_topic_score_gemma":0.000003634514,"domain_scores_codex":[0.9992772,0.000004534469,0.0001580989,0.0001866739,0.0001293737,0.0002441251],"domain_scores_gemma":[0.9995819,0.00003352565,0.00002517266,0.0001252987,0.00009878848,0.0001352525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002516858,0.0001025695,0.0001022748,0.0002159207,0.00007735199,0.00003002273,0.0007512606,0.6592206,0.008296198,0.01964615,0.001986791,0.3093192],"study_design_scores_gemma":[0.001243812,0.0002437629,0.00004216123,0.0001559533,0.0000256258,0.00001923586,0.000274866,0.9534312,0.02430816,0.006805475,0.0129552,0.0004944875],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5755907,0.0005044708,0.3936432,0.000212031,0.00147527,0.0003133143,0.000130215,0.0008054691,0.02732528],"genre_scores_gemma":[0.9943136,0.00002081814,0.004798518,0.00001007781,0.0002840376,0.00003242201,0.0001836016,0.00002950475,0.0003274009],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4187229,"threshold_uncertainty_score":0.7008172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02721084095044107,"score_gpt":0.2407248243737968,"score_spread":0.2135139834233557,"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."}}