{"id":"W1838571159","doi":"10.3968/6639","title":"Optimization of Drilling Engineering Design and Construction for Anshun 1 Well","year":2015,"lang":"en","type":"article","venue":"Advances in petroleum exploration and development","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Drilling; Measurement while drilling; Petroleum engineering; Drilling engineering; Drilling fluid; Block (permutation group theory); Key (lock); Matching (statistics); Engineering; Quality (philosophy); Geology; Mechanical engineering; Computer science","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":[0.0007112351,0.0006879079,0.0003893042,0.00103196,0.0005173255,0.0007872341,0.0003634835,0.0004649422,0.003020082],"category_scores_gemma":[0.0006766594,0.0003621873,0.0003980483,0.0005005935,0.0002796276,0.0007034071,0.0006350551,0.0003378425,0.0003754579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007211775,"about_ca_system_score_gemma":0.001991854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004782652,"about_ca_topic_score_gemma":0.01234606,"domain_scores_codex":[0.9996318,0.00004777413,0.0000218592,0.0000540264,0.0001859322,0.00005868326],"domain_scores_gemma":[0.999778,0.00004137829,0.00004004769,0.00001534578,0.0001015743,0.00002374128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002318379,0.0002272099,0.01388258,0.0005983349,0.00003496509,0.0003825104,0.0003145424,0.691979,0.1316487,0.0118144,0.002459891,0.1464261],"study_design_scores_gemma":[0.00009306926,0.001203383,0.01685647,0.00007528415,0.0001008857,0.0003696992,0.0006365369,0.9045204,0.04802934,0.004362732,0.02367166,0.00008068157],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4153997,0.0007276129,0.5540175,0.0002921553,0.00007601579,0.0004903997,0.0003540992,0.000517827,0.02812457],"genre_scores_gemma":[0.8498775,0.0003701376,0.1461432,0.00002343799,0.000005615886,0.000233722,0.0002839086,0.00005335084,0.00300921],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004782652,"threshold_uncertainty_score":0.01010317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01936935365481127,"score_gpt":0.2137273205748925,"score_spread":0.1943579669200813,"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."}}