{"id":"W1989477090","doi":"10.2118/0403-0063-jpt","title":"Maximizing Reserves Growth and Profitability in Tight Gas Sands","year":2003,"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":"Profitability index; Tight gas; Petroleum engineering; Petroleum; Fossil fuel; Geology; Unconventional oil; Shale gas; Mining engineering; Engineering; Business; Hydraulic fracturing; Oil shale; Paleontology; Waste management; Finance","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004638804,0.0003623561,0.0004174439,0.0005100773,0.0002940527,0.001269429,0.0002828082,0.0004604683,0.001272437],"category_scores_gemma":[0.002719015,0.0001996678,0.0001100697,0.0005929334,0.0005770565,0.00151433,0.001056069,0.0002827025,0.000165119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001026053,"about_ca_system_score_gemma":0.001039777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01048163,"about_ca_topic_score_gemma":0.01404348,"domain_scores_codex":[0.9997403,0.00006099044,0.00001194588,0.00003936303,0.0000659623,0.00008148233],"domain_scores_gemma":[0.9994739,0.0002652243,0.00009892832,0.00002393307,0.00007429583,0.00006376277],"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":[0.0003640181,0.00004530108,0.007839038,0.00007031782,0.00001876964,0.0003078266,0.000130501,0.9123674,0.01961949,0.01543882,0.001030959,0.04276761],"study_design_scores_gemma":[0.00001548099,0.00009641388,0.003810526,0.00001243885,0.00001265477,0.000074615,0.0002301122,0.9676126,0.01183941,0.01495928,0.001317622,0.00001893589],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9295876,0.0003941355,0.05999265,0.0003835901,0.00001510613,0.00002852808,0.0001463529,0.0001777937,0.009274212],"genre_scores_gemma":[0.995665,0.0001146638,0.0028012,0.000009776139,0.000003838892,0.000008186869,0.00003482841,0.00001653962,0.001345991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01048163,"threshold_uncertainty_score":0.02084124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0095411992036917,"score_gpt":0.2394070351648099,"score_spread":0.2298658359611182,"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."}}