{"id":"W4230900532","doi":"10.2118/143731-pa","title":"New Analytical and Statistical Approach for Estimating and Analyzing Sand Production Through Wire-Wrap Screens During a Sand-Retention Test","year":2012,"lang":"en","type":"article","venue":"SPE Drilling & Completion","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"ConocoPhillips (Canada)","funders":"BG Group; ConocoPhillips","keywords":"Slurry; Ranking (information retrieval); Particle-size distribution; Monte Carlo method; Geotechnical engineering; Engineering; Particle size; Computer science; Mathematics; Statistics; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003512793,0.0002086617,0.0003107856,0.0001273759,0.0003038448,0.0001074696,0.00004868799,0.00009261858,0.0000136685],"category_scores_gemma":[0.0002960713,0.0001987876,0.00006469151,0.000199623,0.00006036851,0.0003122695,0.00002883054,0.0001908611,0.000002259142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006183677,"about_ca_system_score_gemma":0.000007387149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001142468,"about_ca_topic_score_gemma":0.000006430199,"domain_scores_codex":[0.9987332,0.00003095661,0.0003242299,0.0003217382,0.0001880787,0.0004017472],"domain_scores_gemma":[0.9993927,0.0001707112,0.00006150014,0.0001600345,0.0000442953,0.0001707255],"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":[0.0001044329,0.0001555823,0.06877647,0.002134924,0.0005486322,0.000003304349,0.002112116,0.8734439,0.02752274,0.0005506026,0.001013022,0.02363426],"study_design_scores_gemma":[0.0004036134,0.00003278907,0.02357359,0.00009866591,0.0002363015,0.00003304373,0.00007802514,0.9733106,0.001567247,0.0002280408,0.0001758288,0.0002621911],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2265206,0.0004694407,0.7722332,0.00008052631,0.0001293844,0.0001902549,0.00001101346,0.0001463256,0.000219243],"genre_scores_gemma":[0.7586974,0.00007335188,0.24032,0.000004432421,0.0007202009,0.000009254481,0.0001106388,0.0000287473,0.0000360179],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5321768,"threshold_uncertainty_score":0.8106325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02658496628609141,"score_gpt":0.2604197141684869,"score_spread":0.2338347478823955,"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."}}