{"id":"W1994301324","doi":"10.2118/101838-ms","title":"Managing Produced Water through Total Oil Recovery: An Integrated Innovative Technology","year":2006,"lang":"en","type":"article","venue":"SPE Russian Oil and Gas Technical Conference and Exhibition","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Tornado Spectral Systems (Canada)","funders":"","keywords":"Environmental science; Produced water; Process engineering; Process (computing); Train; Enhanced oil recovery; Petroleum engineering; Oil field; Submarine pipeline; Computer science; Waste management; Environmental engineering; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002278414,0.0004014946,0.0003629012,0.0005480155,0.0002206213,0.0007739611,0.0007973785,0.0006168269,0.0009112738],"category_scores_gemma":[0.0001590529,0.0001646209,0.0004321558,0.0004119347,0.0004001822,0.001057356,0.0005682714,0.0005170736,0.000359528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004069663,"about_ca_system_score_gemma":0.0006045123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007074053,"about_ca_topic_score_gemma":0.0009968114,"domain_scores_codex":[0.9997043,0.00002122323,0.00001411955,0.00004848196,0.0001738335,0.00003808595],"domain_scores_gemma":[0.9999194,0.00001264371,0.00002180637,0.00001448403,0.00002422344,0.000007392709],"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":[0.00008626493,0.0002487252,0.0004850393,0.0002854533,0.0000280932,0.0001765703,0.00007398607,0.006526351,0.8707007,0.004837737,0.0006656019,0.1158855],"study_design_scores_gemma":[0.00005062806,0.001025006,0.0009117841,0.00002810257,0.00009015723,0.0007208704,0.00007291108,0.02796867,0.9441562,0.002073708,0.02286246,0.00003948305],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3902662,0.006518807,0.5803593,0.001116652,0.0002218525,0.000295439,0.0001491076,0.001385345,0.01968732],"genre_scores_gemma":[0.7777071,0.004245582,0.2047743,0.0002183516,0.00007600791,0.0001130709,0.0001577724,0.00005826606,0.01264942],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009112738,"threshold_uncertainty_score":0.00304848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009696153891282077,"score_gpt":0.2274350367475229,"score_spread":0.2177388828562408,"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."}}