{"id":"W2077894186","doi":"10.2118/1014-0160-jpt","title":"Technology Focus: Tight Reservoirs (October 2014)","year":2014,"lang":"en","type":"article","venue":"Journal of Petroleum Technology","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pace; Unconventional oil; Credibility; Tight gas; Lead (geology); Production (economics); Petroleum industry; Natural resource economics; Fossil fuel; Petroleum engineering; Risk analysis (engineering); Business; Geology; Economics; Hydraulic fracturing; Engineering; Political science; Paleontology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000749591,0.0002267117,0.0005358582,0.002032094,0.00005331777,0.00002463153,0.0006865332,0.0005446667,0.00008449004],"category_scores_gemma":[0.0004674041,0.0002006321,0.0001363222,0.0007189226,0.0001131073,0.0001609398,0.00007264497,0.0009799933,0.00007005693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009908371,"about_ca_system_score_gemma":0.00002364736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001161124,"about_ca_topic_score_gemma":0.00000302241,"domain_scores_codex":[0.9984319,0.0000497615,0.0006873425,0.0001572217,0.0002551532,0.0004185779],"domain_scores_gemma":[0.9988726,0.0001244194,0.0001828694,0.0005237242,0.0001940906,0.0001023418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002748556,0.00004517033,0.005940117,0.00006795232,0.0001829943,0.00005466208,0.00003145002,0.9232392,0.02450291,0.01176787,0.01187143,0.02226871],"study_design_scores_gemma":[0.002447085,0.0006994875,0.0008274517,0.0001429401,0.00007415577,0.0007122914,0.0001304632,0.2802548,0.04007341,0.04026467,0.633779,0.0005943138],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6573643,0.002524969,0.3303855,0.003867708,0.0009971363,0.00005531162,0.000001921303,0.0008420344,0.003961061],"genre_scores_gemma":[0.9470668,0.0002376816,0.05204094,0.00001587356,0.0002529151,0.000006380944,5.784325e-7,0.00005930447,0.0003194577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6429845,"threshold_uncertainty_score":0.8181538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006570917528349722,"score_gpt":0.2399478118758828,"score_spread":0.2333768943475331,"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."}}