{"id":"W3216732190","doi":"10.2118/208446-ms","title":"Data-Driven Well Pad Development Performance Review: Focus on the Role of Liner Design on Well Performance","year":2021,"lang":"en","type":"article","venue":"","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Alberta","funders":"","keywords":"Petroleum engineering; Ranking (information retrieval); Steam injection; Scope (computer science); Production (economics); Environmental science; Computer science; Geology; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006208523,0.0001758458,0.0002226964,0.00004649984,0.00005752707,0.00001567621,0.0003759516,0.00005217692,0.0003895207],"category_scores_gemma":[0.00006923295,0.0001191311,0.00003484086,0.0002336131,0.00001225639,0.0001055709,0.00007117414,0.0002178987,0.0002435473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003534679,"about_ca_system_score_gemma":0.00004028091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.033933e-7,"about_ca_topic_score_gemma":7.735803e-7,"domain_scores_codex":[0.9989139,0.00007437963,0.0003392211,0.0002019352,0.0002666399,0.0002038981],"domain_scores_gemma":[0.998781,0.0002661413,0.00003525639,0.0008019478,0.00006563379,0.00005001194],"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":[0.000007206044,0.00001832929,0.0001925718,0.000284941,0.00002986181,9.230556e-7,0.00003596531,0.9781122,0.0004455046,0.00008245099,0.002890656,0.01789939],"study_design_scores_gemma":[0.0001124284,0.00002863583,0.0006228372,0.0004495461,0.000008283333,0.000001347881,0.000009154262,0.7490677,0.1080256,0.000005878819,0.1415329,0.0001357506],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5740296,0.0154278,0.2498293,0.0009738606,0.0008323112,0.001266324,0.00002469079,0.0008237133,0.1567924],"genre_scores_gemma":[0.8966739,0.01106618,0.08971933,0.0002083974,0.0000876941,0.0000360943,0.00004461782,0.00005361417,0.002110184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3226443,"threshold_uncertainty_score":0.4858027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04408823679138862,"score_gpt":0.2647914305471933,"score_spread":0.2207031937558047,"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."}}