{"id":"W2785299246","doi":"10.3968/10084","title":"Analyzing of Multi Field Coupling Borehole Collapse Time for Shale","year":2017,"lang":"en","type":"article","venue":"Advances in petroleum exploration and development","topic":"Geoscience and Mining Technology","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Borehole; Drilling fluid; Pore water pressure; Cohesion (chemistry); Geology; Coupling (piping); Geotechnical engineering; Oil shale; Permeability (electromagnetism); Drilling; Stress field; Hydraulic fracturing; Mechanics; Fluid dynamics; Petroleum engineering; Finite element method; Engineering; Mechanical engineering; Structural engineering; Chemistry; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001217638,0.00006461564,0.000113143,0.0000927608,0.000114705,0.00002046168,0.0001084708,0.00003918419,0.000003579855],"category_scores_gemma":[0.00007158457,0.00006602666,0.00000905297,0.00003401492,0.00003969944,0.0004112857,0.00003089113,0.00003853774,0.000003061836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001771218,"about_ca_system_score_gemma":0.00001795412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001641307,"about_ca_topic_score_gemma":0.00007072298,"domain_scores_codex":[0.9995561,0.000001388889,0.000168875,0.0001096832,0.00004606391,0.0001178483],"domain_scores_gemma":[0.9997548,0.00002932938,0.00005412124,0.0001198861,0.00002294015,0.00001892768],"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":[0.0000907368,0.000139214,0.05997761,0.0004724178,0.00003936634,0.000008791909,0.005089005,0.467115,0.01802723,0.001485626,0.0004302435,0.4471248],"study_design_scores_gemma":[0.001369659,0.0001074069,0.002548679,0.0001447704,0.000005263802,0.000001496907,0.001109473,0.8840801,0.0832325,0.000581425,0.02651352,0.0003056818],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.511975,0.001745335,0.4847978,0.000233672,0.0003516109,0.0002030502,0.000004366178,0.0001246879,0.000564467],"genre_scores_gemma":[0.9625614,0.000532324,0.03671418,0.00001024598,0.000008652525,0.00006097381,0.000005780199,0.000006033322,0.0001003519],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4505864,"threshold_uncertainty_score":0.2692489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0224456195633742,"score_gpt":0.2758441261447927,"score_spread":0.2533985065814185,"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."}}