{"id":"W3000838533","doi":"10.2118/199687-ms","title":"A Cost-Effective Evaluation of Pods Diversion Effectiveness using Fiber Optics DAS and DTS","year":2020,"lang":"en","type":"article","venue":"SPE Hydraulic Fracturing Technology Conference and Exhibition","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Shell (Canada)","funders":"","keywords":"Software deployment; Casing; Computer science; Blocking (statistics); Product (mathematics); Environmental science; Engineering; Petroleum engineering; Operating system; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003474163,0.0002247708,0.0003640612,0.0002723435,0.0001201418,0.00003347731,0.0001058757,0.0003111217,0.00005279768],"category_scores_gemma":[0.0001381625,0.0002177518,0.00005189651,0.0003148099,0.0001878356,0.000225262,0.0001165755,0.0003395263,0.000008814704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008092338,"about_ca_system_score_gemma":0.00002641425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004719508,"about_ca_topic_score_gemma":0.000005174276,"domain_scores_codex":[0.9988478,0.00009623729,0.000225377,0.0003409801,0.0002567493,0.0002327924],"domain_scores_gemma":[0.9993876,0.0000865879,0.00008610105,0.0001881836,0.000155653,0.00009589386],"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":[0.0001290713,0.00007586033,0.002603875,0.00111321,0.0004757948,0.00002964593,0.001889022,0.5823125,0.07355,0.0001712258,0.00004346623,0.3376064],"study_design_scores_gemma":[0.00115027,0.0001574253,0.005695548,0.0003801934,0.0003897344,0.00002257219,0.0003649934,0.7827685,0.2060377,0.002427034,0.0002678517,0.0003381577],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9755985,0.0006004453,0.02177172,0.000425741,0.00005509891,0.0006860782,0.00000687989,0.0002413449,0.0006142537],"genre_scores_gemma":[0.9987438,0.0002461145,0.0008417788,0.00003034199,0.00004669904,0.00004971045,0.00001792293,0.00002131177,0.000002298087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3372682,"threshold_uncertainty_score":0.887966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03761185605758412,"score_gpt":0.2888408938059569,"score_spread":0.2512290377483728,"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."}}