{"id":"W2992245512","doi":"","title":"Research and Practice on Gas Channeling Controlling by Combined Stimulation for Multi-Thermal Fluids Huff and Puff","year":2017,"lang":"en","type":"article","venue":"Advances in petroleum exploration and development","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Steam injection; Petroleum engineering; Submarine pipeline; Stimulation; Thermal; Drop (telecommunication); Well stimulation; Oil production; Environmental science; Mechanics; Petroleum; Chemistry; Engineering; Thermodynamics; Mechanical engineering; Geotechnical engineering; Reservoir engineering; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001247209,0.000133669,0.0001682948,0.0001436419,0.0003812862,0.0001969228,0.00006445976,0.00006502497,0.000001044403],"category_scores_gemma":[0.000495708,0.0001346575,0.000007653486,0.00004140208,0.00004516915,0.001121435,0.0000303498,0.00015006,0.000001052146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004836592,"about_ca_system_score_gemma":0.00001238137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002463611,"about_ca_topic_score_gemma":0.000007043798,"domain_scores_codex":[0.9990728,0.00006240662,0.00025424,0.0002218611,0.0001766358,0.0002120719],"domain_scores_gemma":[0.99907,0.000580974,0.00004908039,0.0001294107,0.0000976488,0.00007291901],"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":[0.0002532369,0.00003138647,0.0004992585,0.00008883573,0.00001385814,8.420451e-7,0.0009590464,0.9613349,0.002353937,0.0003563385,0.00001410707,0.03409422],"study_design_scores_gemma":[0.002875858,0.0001112269,0.0005880259,0.00007291878,0.000002645016,8.067724e-7,0.0004533259,0.9819467,0.003876745,0.0002362044,0.009674925,0.0001606257],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2585253,0.002710098,0.7375836,0.0003318325,0.0002143362,0.0003290556,0.000003261086,0.00007147829,0.0002310562],"genre_scores_gemma":[0.9068437,0.002352265,0.09047852,0.00001940351,0.00004073852,0.0001515959,0.0000223367,0.00002221168,0.00006924351],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6483184,"threshold_uncertainty_score":0.5491173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1003136100727712,"score_gpt":0.3940897537822368,"score_spread":0.2937761437094656,"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."}}