{"id":"W2003877929","doi":"10.2118/110340-ms","title":"Combining Advanced Real-Time LWD Answers with Accurate and Flexible 3D Rotary-Steerable System for Proactive Reservoir Navigation","year":2007,"lang":"en","type":"article","venue":"SPE Annual Technical Conference and Exhibition","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"ConocoPhillips (Canada)","funders":"","keywords":"Azimuth; Drilling; Measurement while drilling; Geology; Directional drilling; Electrical resistivity and conductivity; Formation evaluation; Petroleum engineering; Engineering; Mechanical engineering; Electrical engineering; Geometry","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":[0.0004791286,0.0004652645,0.0003764771,0.0006881387,0.0002247635,0.0007623956,0.0005851146,0.0005090371,0.002185549],"category_scores_gemma":[0.0006978448,0.0002612915,0.0002624399,0.000392603,0.0002907601,0.0008251073,0.001087436,0.0003466209,0.0009485404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002124485,"about_ca_system_score_gemma":0.0005068234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001058447,"about_ca_topic_score_gemma":0.00134354,"domain_scores_codex":[0.9994695,0.00008551245,0.00002998699,0.00007658769,0.000281468,0.00005704289],"domain_scores_gemma":[0.9995698,0.00005878633,0.00004902095,0.0001043637,0.0001832549,0.00003474959],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000438211,0.0001159149,0.004452614,0.0001792688,0.00004885597,0.0005415447,0.0004535844,0.04640837,0.4298299,0.003891825,0.00548254,0.5081575],"study_design_scores_gemma":[0.00009231718,0.0006007896,0.006123027,0.00005873513,0.00007325428,0.0007144596,0.0002653637,0.7782181,0.17774,0.003073091,0.03284672,0.0001941314],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05301144,0.0001224588,0.9380154,0.0002003239,0.000101874,0.00007463717,0.0001001593,0.004423351,0.003950278],"genre_scores_gemma":[0.6066774,0.0001277127,0.3891197,0.0001844898,0.0000395928,0.00009811964,0.0002140349,0.00008710562,0.003451963],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002185549,"threshold_uncertainty_score":0.007311404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01184026168754608,"score_gpt":0.2387308408890635,"score_spread":0.2268905792015175,"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."}}