{"id":"W2569861142","doi":"10.2118/184867-ms","title":"Accelerating Completions Concept Select in Unconventional Plays Using Diagnostics and Frac Modeling","year":2017,"lang":"en","type":"article","venue":"SPE Hydraulic Fracturing Technology Conference and Exhibition","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Shell (Canada)","funders":"Academy of Finland","keywords":"Development (topology); Field (mathematics); Key (lock); Process (computing); Computer science; Planar; Mathematical optimization; Engineering; Mathematics; Mathematical analysis; Pure mathematics","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":[0.0001571123,0.0002485525,0.0003438622,0.0003932616,0.0006498794,0.0002386821,0.0002156501,0.0003253998,0.00004511699],"category_scores_gemma":[0.0001629187,0.0002615906,0.00004513383,0.0001196734,0.0002515283,0.0004107404,0.0001466979,0.0006078265,0.000005318815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006740538,"about_ca_system_score_gemma":0.00002813149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000365488,"about_ca_topic_score_gemma":0.0002884329,"domain_scores_codex":[0.9987513,0.00002239599,0.0003418637,0.0003641346,0.0001413063,0.000379018],"domain_scores_gemma":[0.9993379,0.00006337969,0.0001015958,0.0003555427,0.00006090344,0.00008072973],"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":[0.00001179622,0.00006122978,0.01758488,0.0001590771,0.0001278083,0.00008624772,0.0006203675,0.9609507,0.005268315,0.001664739,0.0000834023,0.01338149],"study_design_scores_gemma":[0.0005191475,0.00002640526,0.00474811,0.0003394506,0.00004081838,0.00004678566,0.0002285152,0.9794893,0.005013499,0.009106565,0.0001181912,0.0003231715],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9186438,0.000788788,0.07841333,0.0009780996,0.0001004605,0.0001427668,0.00001022247,0.0002519742,0.0006705964],"genre_scores_gemma":[0.996504,0.0008045012,0.002465931,0.00004234429,0.0000954007,0.00001890375,0.00003386793,0.00002608835,0.000008974483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07786023,"threshold_uncertainty_score":0.9999836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03340501444299354,"score_gpt":0.2609794733833075,"score_spread":0.227574458940314,"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."}}