{"id":"W1996900955","doi":"10.2118/165717-ms","title":"Utilizing Diagnostics to Evaluate Completion Effectiveness in the Marcellus Shale","year":2013,"lang":"en","type":"article","venue":"SPE Eastern Regional Meeting","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Oncolytics Biotech (Canada)","funders":"","keywords":"Hydraulic fracturing; Completion (oil and gas wells); Petroleum engineering; Fracture (geology); Shale gas; Oil shale; Wellbore; Geology; Mining engineering; Computer science; Geotechnical 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":[],"consensus_categories":[],"category_scores_codex":[0.0006368704,0.0001546592,0.0001839297,0.0001241913,0.00008124154,0.0000791755,0.0002558067,0.00005194397,0.00004684801],"category_scores_gemma":[0.0001378726,0.0001150068,0.00007578015,0.0002650919,0.00002490846,0.00007564687,0.00004993784,0.0002057177,0.0004458508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006763923,"about_ca_system_score_gemma":0.000006905474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005477885,"about_ca_topic_score_gemma":0.000117896,"domain_scores_codex":[0.9987383,0.0001932376,0.0002128826,0.0001921127,0.0003589509,0.0003045456],"domain_scores_gemma":[0.9990674,0.0005651016,0.00002800601,0.0002178742,0.00004995752,0.00007167157],"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":[0.00001390047,0.00004431361,0.04285873,0.0002335825,0.00006498996,0.00003298934,0.001531111,0.9433797,0.001911538,0.00004384744,0.001046799,0.008838488],"study_design_scores_gemma":[0.0005563219,0.00005404697,0.3378991,0.001018079,0.0000470933,0.00002782924,0.001430099,0.6530904,0.0007690557,0.0006969341,0.003953486,0.00045749],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895698,0.0003876212,0.002733804,0.0008689164,0.0001609192,0.000332411,0.000001091496,0.00007884493,0.005866596],"genre_scores_gemma":[0.999097,0.0000425751,0.000311622,0.0001663224,0.0002082874,0.00008008173,0.000009048929,0.00002538417,0.0000596093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2950404,"threshold_uncertainty_score":0.5730659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02571763398431739,"score_gpt":0.2538361566384528,"score_spread":0.2281185226541354,"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."}}