{"id":"W2912285134","doi":"10.2118/194364-ms","title":"Empirical Links Between Sub-Surface Drivers and Engineering Levers for Hydraulic Fracture Treatments and the Implications for Well Performance","year":2019,"lang":"en","type":"article","venue":"SPE Hydraulic Fracturing Technology Conference and Exhibition","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Shell (Canada)","funders":"","keywords":"Hydraulic fracturing; Geology; Social connectedness; Computer science; Petroleum engineering; Engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001907649,0.0003341933,0.0004652689,0.0002144526,0.0002804593,0.00008945689,0.0001788198,0.0005925921,0.000007861976],"category_scores_gemma":[0.0000410038,0.0002617753,0.00009190925,0.0001788085,0.0002198802,0.0002362408,0.00007022354,0.0005410941,0.000008242592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006084403,"about_ca_system_score_gemma":0.00002009901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002578825,"about_ca_topic_score_gemma":0.000006674058,"domain_scores_codex":[0.9987061,0.00001500099,0.0002910389,0.00046316,0.000094702,0.0004300227],"domain_scores_gemma":[0.9990825,0.0003140868,0.00008446522,0.000356374,0.00005831623,0.0001042721],"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":[0.000560216,0.0001880271,0.288092,0.003586891,0.003654758,0.000007727796,0.004611309,0.5396485,0.02185359,0.00169813,0.004499648,0.1315992],"study_design_scores_gemma":[0.01232939,0.0007101881,0.232415,0.0006383998,0.001358893,0.00009182388,0.0006957127,0.5693263,0.08325393,0.01186629,0.08527073,0.002043299],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9620473,0.0006061016,0.02527686,0.01054586,0.00007465675,0.0008837504,0.00002465402,0.0003538607,0.0001869527],"genre_scores_gemma":[0.9965837,0.001514307,0.001265908,0.0002493157,0.00008017913,0.0001260243,0.00007190953,0.00004229136,0.0000663704],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1295559,"threshold_uncertainty_score":0.9999834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01216083462010799,"score_gpt":0.2313440141943036,"score_spread":0.2191831795741956,"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."}}