{"id":"W2047240766","doi":"10.2118/145599-ms","title":"Deployment of the Reelwell Drilling Method in a Shale Gas Field in Canada","year":2011,"lang":"en","type":"article","venue":"","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Shell (Canada)","funders":"","keywords":"Drill string; Drilling; Petroleum engineering; Underbalanced drilling; Wireline; Drill; Concentric; Measurement while drilling; Drilling fluid; Directional drilling; Drill pipe; Completion (oil and gas wells); Engineering; Drill bit; Mechanical engineering; Geology; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001268169,0.0000756989,0.0001161772,0.00004801531,0.000005719395,0.000001928542,0.000125933,0.00002922827,0.00004794069],"category_scores_gemma":[0.0000156416,0.00005970275,0.00002295584,0.0001663195,0.000002547415,0.00001905758,0.00002058525,0.0001294853,8.461628e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001148824,"about_ca_system_score_gemma":0.00004484734,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7195739,"about_ca_topic_score_gemma":0.8802041,"domain_scores_codex":[0.9994695,0.0000114577,0.0001952266,0.00007620064,0.00007952101,0.0001680726],"domain_scores_gemma":[0.9997374,0.00006197822,0.00001106843,0.0001591579,0.000005465976,0.00002491002],"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":[0.000003655103,0.00001127887,0.04465809,0.00007886765,0.00001434721,0.0000112798,0.0008848613,0.9443179,0.001358869,0.0003487621,0.0001809462,0.008131135],"study_design_scores_gemma":[0.0002200331,0.000009307062,0.01005812,0.0001377682,0.000004516923,0.000002727852,0.0002264834,0.8076119,0.1808894,0.000186691,0.0004881308,0.0001649201],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.880677,0.0003039275,0.06631798,0.00005014772,0.0006278608,0.0001800662,0.000001585741,0.0000866636,0.05175472],"genre_scores_gemma":[0.9946201,0.0000280369,0.005227351,0.00003312173,0.000009294953,0.000005476221,1.472418e-7,0.00001426751,0.00006214322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1795305,"threshold_uncertainty_score":0.2822935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01101449218439278,"score_gpt":0.1726054276055513,"score_spread":0.1615909354211585,"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."}}