{"id":"W2241468281","doi":"10.3997/2214-4609.201412800","title":"A Visual Steering Software for Geological Well Testing","year":2015,"lang":"en","type":"article","venue":"Proceedings","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Channelized; Computer science; Workflow; Software; Reservoir modeling; Transient (computer programming); Test case; Data mining; Geology; Machine learning; Petroleum engineering; Database; Programming language","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":[0.002448456,0.001337144,0.0007904721,0.001603303,0.0003628314,0.001759228,0.002504707,0.0008759141,0.02554538],"category_scores_gemma":[0.006101117,0.0008567374,0.001346983,0.0007096856,0.0007135274,0.001921175,0.002805087,0.001302775,0.009010634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006112698,"about_ca_system_score_gemma":0.001370528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003654477,"about_ca_topic_score_gemma":0.002711889,"domain_scores_codex":[0.9990057,0.0001722197,0.0001344597,0.0001806111,0.000419447,0.000087529],"domain_scores_gemma":[0.9970728,0.001174687,0.0001556011,0.0006727311,0.0007241789,0.0001999974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001643994,0.0005023616,0.007592744,0.0012934,0.0002958658,0.001113562,0.001569179,0.08594837,0.06513016,0.05062493,0.2024888,0.5817966],"study_design_scores_gemma":[0.0004236906,0.0001687921,0.003140922,0.0002939003,0.00007555281,0.0005224404,0.0002665988,0.6111899,0.08543854,0.03932443,0.2588677,0.0002874705],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.004418703,0.00006115383,0.7107066,0.0001430899,0.00004971363,0.0002633033,0.003511774,0.2762454,0.004600225],"genre_scores_gemma":[0.1752785,0.00038215,0.7182688,0.0005401784,0.00007008889,0.001667999,0.02216076,0.06722926,0.01440225],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.02554538,"threshold_uncertainty_score":0.08545786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06548005597415535,"score_gpt":0.3013401886133412,"score_spread":0.2358601326391859,"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."}}