{"id":"W2070892066","doi":"10.2118/168017-ms","title":"Automated MPD and an Engineered Solution: Case Histories from Western Canada","year":2014,"lang":"en","type":"article","venue":"IADC/SPE Drilling Conference and Exhibition","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Drilling; Automation; Drill; Petroleum engineering; Reservoir engineering; Computer science; Underbalanced drilling; Systems engineering; Engineering; Geology; Mechanical engineering; Drilling fluid; Petroleum","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001135135,0.0006005633,0.0002466932,0.001162271,0.01094882,0.001976891,0.001742163,0.002303855,0.002341521],"category_scores_gemma":[0.004418282,0.0003117034,0.0003187061,0.001560528,0.003023544,0.0006563991,0.002198171,0.001993931,0.0003342608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02200934,"about_ca_system_score_gemma":0.02273254,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8100116,"about_ca_topic_score_gemma":0.9398613,"domain_scores_codex":[0.9976739,0.0004246116,0.00009480784,0.0001662958,0.000963578,0.0006767845],"domain_scores_gemma":[0.9978094,0.000417089,0.0001435158,0.0001177893,0.0009197295,0.0005925475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003975813,0.004786496,0.1759804,0.0007111055,0.0001187464,0.1321704,0.2719439,0.01655629,0.00606554,0.03585234,0.03626977,0.3191474],"study_design_scores_gemma":[0.0001005877,0.001371517,0.1123924,0.0008056358,0.0001058278,0.03257386,0.5209771,0.02767437,0.009032168,0.006771381,0.2878457,0.0003494198],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9616601,0.0004396072,0.003225618,0.003756737,0.00004819738,0.0002308696,0.0001285795,0.00005692649,0.03045349],"genre_scores_gemma":[0.9806969,0.0007917404,0.004409204,0.0007261248,0.00001242433,0.00006903525,0.00007424286,0.00003820824,0.01318213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1899884,"threshold_uncertainty_score":0.3822146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02865957497589364,"score_gpt":0.3034274049199918,"score_spread":0.2747678299440981,"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."}}