{"id":"W1604437326","doi":"10.1002/wrcr.20084","title":"A new technique for obtaining high‐resolution pore pressure records in thick claystone aquitards and its use to determine in situ compressibility","year":2013,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; University of Saskatchewan","funders":"","keywords":"Compressibility; In situ; Pore water pressure; Geology; Alpha (finance); Mineralogy; Transducer; High resolution; Geotechnical engineering; Materials science; Thermodynamics; Mathematics; Acoustics; Physics; Remote sensing; Statistics; Meteorology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003714494,0.000254305,0.0001770336,0.00104899,0.0003862465,0.0003073721,0.0003872058,0.0003314527,0.001450927],"category_scores_gemma":[0.0008096409,0.0003334863,0.0001320196,0.0007544434,0.0003104033,0.0005945474,0.0004605973,0.0005692762,0.0003545774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001667303,"about_ca_system_score_gemma":0.0003042934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002231084,"about_ca_topic_score_gemma":0.007142644,"domain_scores_codex":[0.9997815,0.00001685044,0.0000167034,0.00006041117,0.0001115613,0.00001299087],"domain_scores_gemma":[0.9992129,0.0001882127,0.0001623724,0.0001322689,0.000251259,0.00005302382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006622142,0.00002507362,0.01649367,0.0000747806,0.00001357011,0.0001088015,0.0001869345,0.0003651704,0.9340537,0.0001248357,0.0002860074,0.04820116],"study_design_scores_gemma":[0.00003518263,0.0005468812,0.3056583,0.00002904526,0.00006899128,0.002676263,0.0002913814,0.02265537,0.6605042,0.0002872035,0.007145836,0.0001011874],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7249241,0.0003995269,0.2670179,0.0002204027,0.00007347517,0.0001544484,0.001871454,0.001459168,0.003879497],"genre_scores_gemma":[0.7619627,0.0002385671,0.2342222,0.00006512987,0.00004112385,0.000173061,0.0004523667,0.00006882557,0.002775997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002231084,"threshold_uncertainty_score":0.004853845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0418763904139919,"score_gpt":0.3017510633049547,"score_spread":0.2598746728909628,"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."}}