{"id":"W2320742238","doi":"10.2118/175306-ms","title":"Thermal EOR Field Development and Well and Reservoir Management","year":2015,"lang":"en","type":"article","venue":"All Days","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Shell Canada","keywords":"Petroleum engineering; Field (mathematics); Enhanced oil recovery; Reservoir engineering; Environmental science; Computer science; Risk analysis (engineering); Engineering; Systems engineering; Geology; Petroleum; Business","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002537142,0.000270564,0.0002235617,0.0007897944,0.0004541592,0.000949887,0.0004382864,0.0004526221,0.001943168],"category_scores_gemma":[0.001675212,0.0001611261,0.000113904,0.0004117156,0.0006749945,0.001401367,0.0005375555,0.000486096,0.000370742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007881265,"about_ca_system_score_gemma":0.001253932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003092343,"about_ca_topic_score_gemma":0.007176124,"domain_scores_codex":[0.9991798,0.0003956002,0.0000415235,0.00007127303,0.0002188396,0.00009300197],"domain_scores_gemma":[0.9985442,0.0003765157,0.0003666178,0.0001121024,0.0004727725,0.0001277177],"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":[0.0007009621,0.0005747165,0.0855157,0.0003747533,0.0000540242,0.0007208601,0.001146339,0.1691803,0.1342571,0.01706879,0.004842583,0.5855638],"study_design_scores_gemma":[0.00007940198,0.003599122,0.2340073,0.0004149541,0.00005796523,0.0005245786,0.006164325,0.4243238,0.261811,0.01659347,0.05215601,0.0002680924],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7837651,0.0009742775,0.1705873,0.001288586,0.0000578385,0.0005767896,0.000433328,0.0007051453,0.04161167],"genre_scores_gemma":[0.9718083,0.0002386651,0.02371939,0.00002994446,0.000006667279,0.0000340601,0.00008352842,0.00002246962,0.004056933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003092343,"threshold_uncertainty_score":0.0134179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02703898233604254,"score_gpt":0.2216676463390071,"score_spread":0.1946286640029645,"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."}}