{"id":"W3011666714","doi":"10.2118/200000-ms","title":"Unlocking Completion Design Optimization Using an Augmented AI Approach","year":2020,"lang":"en","type":"article","venue":"","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Computer science; Feature engineering; Machine learning; Artificial intelligence; Imputation (statistics); Big data; Domain knowledge; Deep learning; Data mining; Missing data","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":[0.00198401,0.001510129,0.001791132,0.001509396,0.0005504641,0.001947789,0.001408374,0.001272341,0.003534091],"category_scores_gemma":[0.004478629,0.001042458,0.00149797,0.001269037,0.001127287,0.001454351,0.001998238,0.00184948,0.0003726528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009301631,"about_ca_system_score_gemma":0.001889334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01284188,"about_ca_topic_score_gemma":0.007451793,"domain_scores_codex":[0.9988738,0.0003768268,0.00006811141,0.0002552984,0.000299191,0.0001267622],"domain_scores_gemma":[0.9960654,0.002719637,0.0003351183,0.0002452678,0.0005296688,0.0001048433],"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":[0.00002218135,0.0000199574,0.0003874176,0.00003651085,0.00002779504,0.00003509477,0.00003214233,0.9821205,0.0004281873,0.003123605,0.0002217719,0.01354493],"study_design_scores_gemma":[0.000002508806,0.00001067333,0.00004367059,0.000003413015,0.000004718259,0.000002923435,0.000005956475,0.9975606,0.0001070601,0.002061887,0.0001930917,0.000003491547],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02090105,0.0002690448,0.9747394,0.0001756702,0.00003303176,0.00005086122,0.0001221835,0.0004065707,0.003302092],"genre_scores_gemma":[0.7206736,0.0002401851,0.2745126,0.0002204501,0.0000579616,0.000286654,0.0005513139,0.0001584349,0.003298703],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01284188,"threshold_uncertainty_score":0.02553427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06013206947923383,"score_gpt":0.2446480707279638,"score_spread":0.1845160012487299,"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."}}