{"id":"W4220923249","doi":"10.2118/208949-ms","title":"Effective Pressure Maintenance and Fluid Leak-Off Management Using Nanoparticle-Based Foam","year":2022,"lang":"en","type":"article","venue":"","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Materials science; Leak; Petroleum engineering; Permeability (electromagnetism); Hydraulic fracturing; Matrix (chemical analysis); Fluid pressure; Pressure drop; Composite material; Environmental science; Geology; Mechanics; Chemistry; Mechanical engineering; Engineering; Membrane","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":[0.0002127256,0.0003318628,0.0002429955,0.0003205387,0.0001942756,0.0002370756,0.0002875997,0.000362971,0.0004433858],"category_scores_gemma":[0.000441933,0.000133145,0.0002550113,0.0001287425,0.0002204842,0.0005272261,0.0003242534,0.0002504947,0.0001111515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001727359,"about_ca_system_score_gemma":0.0001298358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003779361,"about_ca_topic_score_gemma":0.0005259063,"domain_scores_codex":[0.9997681,0.00002677507,0.00002204941,0.00004553295,0.00009325894,0.00004431838],"domain_scores_gemma":[0.9997584,0.00004228014,0.00007465561,0.00002084843,0.00008014405,0.00002372325],"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":[0.00007358255,0.00002693431,0.0002792022,0.00005761839,0.000004544107,0.00006079624,0.00002683591,0.0004004146,0.9914561,0.00004180553,0.00005826812,0.007513949],"study_design_scores_gemma":[0.00000510171,0.0003005005,0.000621842,0.000005701158,0.000006937962,0.00005991147,0.00001704789,0.003326959,0.9948837,0.0000225568,0.0007412409,0.000008519624],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841659,0.0008619883,0.01401773,0.00005638667,0.00003138229,0.00002715,0.00005736713,0.0002859895,0.0004961474],"genre_scores_gemma":[0.9939225,0.0001459459,0.005505653,0.00001376102,0.000007352943,0.0000225251,0.00003024471,0.0000125313,0.0003394404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004433858,"threshold_uncertainty_score":0.001483321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004755483023113626,"score_gpt":0.1971681442465336,"score_spread":0.19241266122342,"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."}}