{"id":"W4312353178","doi":"10.23977/jemm.2022.070310","title":"Seven-stage complex horizontal well 3D borehole track design","year":2022,"lang":"en","type":"article","venue":"Journal of Engineering Mechanics and Machinery","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Borehole; Track (disk drive); Monte Carlo method; Drilling; Directional drilling; Range (aeronautics); Set (abstract data type); Geology; Computer science; Simulation; Engineering; Geotechnical engineering; Mechanical engineering; Mathematics; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005539398,0.0004739781,0.0004632209,0.0005196881,0.0004228855,0.000894989,0.001076234,0.0006227603,0.002797419],"category_scores_gemma":[0.0005077805,0.0003092554,0.0007757221,0.0003218094,0.0004131593,0.0008117236,0.0007648505,0.0003706169,0.000355699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005660802,"about_ca_system_score_gemma":0.001389959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003835363,"about_ca_topic_score_gemma":0.004565333,"domain_scores_codex":[0.9995104,0.00007915762,0.00003287176,0.00007355413,0.0002520987,0.00005191942],"domain_scores_gemma":[0.9997602,0.00003659149,0.00004517144,0.00003014197,0.000104807,0.00002315188],"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":[0.0001610587,0.00005934995,0.003072481,0.0002505362,0.00003092985,0.000346714,0.0001840773,0.858708,0.04704314,0.02075469,0.0008496924,0.06853925],"study_design_scores_gemma":[0.0000212793,0.0002475676,0.0008811335,0.00001120614,0.00002085308,0.0002028537,0.00006747247,0.9841045,0.008107355,0.00257283,0.003730188,0.00003270235],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03886886,0.00006151811,0.9565468,0.00004860754,0.00001599407,0.0001183223,0.00007290749,0.0002603205,0.00400669],"genre_scores_gemma":[0.7387078,0.0001582634,0.257698,0.00002046651,0.000006632675,0.0001931176,0.000196999,0.00004062658,0.002978163],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003835363,"threshold_uncertainty_score":0.009358346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01290439376382537,"score_gpt":0.192897365493856,"score_spread":0.1799929717300306,"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."}}