{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0143644,0.0006255938,0.001228048,0.009655287,0.000366704,0.00233097,0.001889227,0.0006999676,0.0008206422],"category_scores_gemma":[0.04649028,0.0004840405,0.001049492,0.01384741,0.000464356,0.001633798,0.000447133,0.0005710674,0.0003035974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006184608,"about_ca_system_score_gemma":0.01619977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1399264,"about_ca_topic_score_gemma":0.2371481,"domain_scores_codex":[0.9931006,0.001455551,0.001008185,0.0007077352,0.003552923,0.000174962],"domain_scores_gemma":[0.806728,0.05798506,0.01153096,0.002977723,0.1197001,0.001078133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002812194,0.0001216723,0.0467639,0.03760188,0.0009917945,0.0001634079,0.0007108398,0.01443414,0.0067411,0.003043894,0.03162327,0.8575229],"study_design_scores_gemma":[0.00007978125,0.001540264,0.2685898,0.04293834,0.004433951,0.0005731095,0.003005893,0.01841344,0.04220063,0.001555523,0.6161844,0.0004848768],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.09445193,0.8581331,0.01359818,0.006952975,0.0008233893,0.0002802368,0.01024524,0.0004659889,0.01504909],"genre_scores_gemma":[0.3390652,0.6337228,0.01508346,0.00121453,0.0004714535,0.0001616879,0.007270668,0.0001983074,0.002811892],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1399264,"threshold_uncertainty_score":0.2782238,"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."}}