{"id":"W2072242285","doi":"10.2118/105198-pa","title":"Real-Time Digital Interpretation of Subsea-Blowout-Preventer Tests","year":2008,"lang":"en","type":"article","venue":"SPE Drilling & Completion","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Crosslight Software (Canada)","funders":"","keywords":"Subsea; Engineering; Marine engineering; Hydrostatic test; Software; Reliability engineering; Computer science; Mechanical engineering","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":[0.0006927704,0.0005256487,0.0003317552,0.002405464,0.0002849531,0.0009669293,0.000647039,0.000304521,0.01394909],"category_scores_gemma":[0.003431678,0.0001809089,0.0001871407,0.00107799,0.0003344501,0.0005266068,0.0004996722,0.0003473832,0.002302148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004741866,"about_ca_system_score_gemma":0.0004986514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002734296,"about_ca_topic_score_gemma":0.003711399,"domain_scores_codex":[0.9991184,0.00009533035,0.0000583883,0.0001196938,0.0005682633,0.00004002779],"domain_scores_gemma":[0.9974911,0.0007171172,0.0002516518,0.0003380118,0.001118706,0.00008343072],"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":[0.001920823,0.0001600243,0.02992369,0.0008728005,0.00005548283,0.0006111164,0.0008823337,0.01591976,0.228876,0.002412515,0.02018515,0.6981803],"study_design_scores_gemma":[0.0002585999,0.0009995406,0.1278954,0.0002828373,0.0002139342,0.001504654,0.001300291,0.3078136,0.4544429,0.004800822,0.1000794,0.0004081135],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4404437,0.0007401879,0.4773936,0.0005409647,0.0008486045,0.0006640097,0.009851467,0.02469905,0.04481843],"genre_scores_gemma":[0.8457341,0.0003385708,0.1383618,0.0001837452,0.0001081091,0.0002545043,0.00208786,0.0006037513,0.01232763],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01394909,"threshold_uncertainty_score":0.04666436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06514592620508448,"score_gpt":0.3369096887025053,"score_spread":0.2717637624974208,"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."}}