{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007523656,0.0001353817,0.0003856778,0.000311906,0.0001576772,0.00008770579,0.0003857483,0.00006272252,0.0004629073],"category_scores_gemma":[0.001005822,0.0001100856,0.0002875634,0.0007020477,0.0001411702,0.0004628765,0.00006861158,0.0000890995,0.001044103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000391606,"about_ca_system_score_gemma":0.00003189916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008364415,"about_ca_topic_score_gemma":0.00002154109,"domain_scores_codex":[0.9974835,0.0001301978,0.0007948944,0.000376942,0.001027139,0.0001873553],"domain_scores_gemma":[0.99795,0.0007275227,0.0003715225,0.0004704644,0.0004044651,0.00007608478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009787254,0.0008366785,0.6319512,0.00003654728,0.0003472199,0.00008099561,0.01197525,0.05099894,0.06687775,0.002569109,0.016195,0.2171526],"study_design_scores_gemma":[0.0008502868,0.0002982939,0.5166214,0.000132349,0.00007980581,0.00005773735,0.0004351982,0.4203393,0.002409728,0.05335391,0.004876963,0.00054507],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9472538,0.00002997239,0.0435571,0.0003631589,0.0001575732,0.0001027324,0.000031872,0.000049416,0.008454331],"genre_scores_gemma":[0.9961703,0.0001340885,0.002033688,0.00002046355,0.00008556236,0.000002070961,0.00007947651,0.00001089111,0.001463484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3693403,"threshold_uncertainty_score":0.9997337,"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."}}